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All Journal Information Technology and Telematics Dinamik Dinamika Hukum Publikasi Eksternal Scientific Journal of Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Universitas Batanghari Jambi IKRA-ITH Informatika : Jurnal Komputer dan Informatika Fokus Ekonomi Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science IKRA-ITH ABDIMAS PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat To Maega: Jurnal Pengabdian Masyarakat JURNAL MAHAJANA INFORMASI Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Journal of Soft Computing Exploration JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Mejuajua Journal of Community Development and Disaster Management Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Media Abdimas Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Andan Jejama: Indonesian Journal Of Community Engagement
Dewi Handayani Untari Ningsih
Universitas Stikubank
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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Pelatihan Pembuatan Animasi Untuk Kalangan Pengajar Dalam Upaya Meningkatan Ketrampilan Dibidang Teknologi Yulianton, Heribertus; Santi, Rina Candra Noor; Ningsih, Dewi Handayani Untari; Wismarini, Theresia Dwiati; Supriyanto, Edy
Intimas Vol 4 No 1 (2024)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v4i1.9762

Abstract

Macromedia Flash is an application that can be used to create animations. The use of Macromedia Flash is still not used optimally for developing learning media. Macromedia Flash itself is a software application used to create animations and is an application program commonly used in creating multimedia. The convenience of this application can be used to create and edit animations to make them more interesting and beautiful. For learning media, teaching materials can be used to beautify the teaching materials that will be given by students, students who can follow lessons well and not in a monotonous manner can hopefully improve student achievement results
Penerapan Algoritma TF-IDF dan Cosine Similarity untuk Query Pencarian Pada Dataset Destinasi Wisata Al Rasyid, Rio; Ningsih, Dewi Handayani Untari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1416

Abstract

This research aims to improve the search for tourist destinations in 50 datasets by using search queries to find relevant documents. By optimizing the search process, the goal is to create an accurate list of tourist destinations based on a given query. To achieve this, researchers used the TF-IDF and Cosine Similarity algorithms to retrieve and compare information, measuring similarity scores between search queries and tourist destinations in the dataset. Finally, the list of tourist destinations is ranked based on the similarity score measurement. The methods used are TF-IDF and Cosine Similarity. The fifty datasets containing text content documents were normalized through pre-processing stages, namely Case Folding, Stopword Removal, and Tokenization. Documents that have been normalized are then processed again through TF-IDF weighting. TF-IDF weighting is also applied to search queries. The similarity calculation between the TF-IDF vector from the document and the TF-IDF vector from the search query is carried out using Cosine Similarity to obtain a similarity score for each document based on the search query. Testing was carried out on 5 different queries, and precision testing results were obtained with an average value of 83%
Feature Extraction dengan Gray Level Co-Occurrence Matrix Warna Alami dari Tanaman Ketapang berbasis Geolokasi Ningsih, Dewi Handayani Untari; Zuliarso, Eri; Radyanto, Mohammad Riza; Santoso, Dwi Budi
Dinamik Vol 29 No 2 (2024)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v29i2.9851

Abstract

Ekstraksi fitur, juga dikenal sebagai ekstraksi fitur, adalah proses mengubah data mentah menjadi representasi yang lebih ringkas dan berguna yang dapat digunakan untuk analisis atau pemodelan lebih lanjut. Ini dilakukan pada tahap preprocessing sebelum masuk ke tahap analisis atau pemodelan. Pewarnaan alami dari berbagai tanaman yang menghasilkan warna tanin setelah pencelupan dikumpulkan menjadi satu alur gradasi warna yang berkaitan dengan susunan derajat atau peningkatan, peralihan warna dari satu warna ke warna lain. Variasi dalam alur ini dipengaruhi oleh jenis tanaman, lama pencelupan, jenis fiksasi yang digunakan, jenis kain, dan lokasi tanaman yang dijadikan sampel.Metode ekstraksi fitur dengan Matriks Co-Occurrence Level Gray (GLCM) digunakan untuk mengidentifikasi gradasi warna yang dihasilkan oleh pewarnaan pada daun Ketapang. Proses ekstraksi fitur tekstur dari gambar tanaman Ketapang menggunakan matriks GLCM digunakan untuk menganalisis dan memahami pola warna alami tanaman Ketapang di berbagai lokasi geografis. Untuk menggambarkan dan mengukur pola warna alami tanaman Ketapang, Gray Level Co-occurrence Matrix (GLCM) adalah representasi statistik dari distribusi spasial intensitas piksel dalam citra, yang mengukur frekuensi kemunculan pasangan intensitas piksel yang berdekatan dan memberikan informasi tentang tekstur citra
Pendampingan Pembuatan Motif Batik Dengan Teknis Colet Di Karang Taruna Jangli Semarang Anisi, Yunus; Mariana, Novita; Handayani UN, Dewi; Retnowati, Retnowati
Journal of Community Development and Disaster Management Vol 6 No 1 (2024): Journal of Community Development and Disaster Management
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/jcd.v6i1.6128

Abstract

Semarang City is the Capital of Central Java Province, Indonesia which has a lot of potential in terms of culture, tourism, and geographical location. In terms of culture, Semarang has traditional dances such as Gambang Semarang and batik art. The colet batik motif is a technique for making batik that emerged along with the use of chemical dyes for batik. In order to introduce this technique further, mentoring was carried out for youth in the Jangli village cadet youth group by introducing the dab technique as an alternative in making batik motifs with natural dyes. The aim is to develop creativity and potential in order to be able to produce batik commodities that are unique in terms of batik motifs. The goal to be achieved is to cultivate the use of natural dyes in decorating and blocking fabric colors. This service activity was declared successful according to plan, which can be seen based on the involvement of participants and their enthusiasm while participating in the activity and can produce ethnic motifs with the dab technique to the dyeing process with natural dyes
AUDIT TEKNOLOGI INFORMASI APLIKASI SISTEM PERSURATAN TERPADU (SIRANDU) DENGAN METODE TAM DAN WEBQUAL Ariyani, Dewi Ayu; Ningsih, Dewi Handayani Untari; Santoso, Dwi Budi; Zuliarso, Eri
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.11212

Abstract

In the rapidly evolving landscape of information technology, IT audits play a crucial role in ensuring that applications such as SIRANDU (Integrated Mailing System) adhere to quality standards and meet user acceptance criteria. This research investigates the determinants influencing users' overall evaluations of a website by employing a combined methodology of the Technology Acceptance Model (TAM) and Webqual. Data were gathered through online questionnaires administered via Google Forms to 100 users of the SIRANDU application. Structural Equation Modeling (SEM) analysis reveals significant positive impacts of usability, perceived usefulness, and attitude toward use on user intentions and actual system usage. Nevertheless, the overall assessment of the website remains inadequate. Recommendations include enhancing usability, improving information quality, and refining service interactions to augment user experience and satisfaction. Continuous evaluation and iterative enhancements are advocated to foster greater user satisfaction and broader adoption of the website. Keywords: SIRANDU application, TAM, Webqual, SEM
Optimalisasi Growth Hacking Pada CRM ( Customer Relationship Management ) Design Produk Interior & Furniture Prasetyo, Wahyu; Ningsih, Dewi Handayani Untari; Zuliarso, Eri; Santoso, Dwi Budi
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i5.11596

Abstract

Penelitian ini bertujuann untuk meningkattkan efisiensi CRM ( Customer Relationship Management ) melalui penerapan metode growth hacking. Fokus utamanya adalah mempercepat respon terhadap komplain pelanggan dan menyederhanakan proses pengajuan permintaan sesuai kebutuhaan. Penerapan CRM pada suatu perusahaan untuk memberikan jaminan kepada pelanggan mendapatkan pelayanan yang terbaik serta respon yang cepat dalam mengatasi komplain pelanggan sekaligus menyediakan sarana yang efisien untuk pengajuan permintaan sesuai preferensi pelanggan. Growth hacking pada CRM memungkinkan pelanggan melakukan customisasi design produk sesuai dengan keinginan pelanggan, Metode ini juga diharapkan dapat meningkatkan retensi pelanggan dengan menawarkan pengalaman yang lebih personal dan memuaskan untuk setiap pelanggan.
Pemanfaatan Teknologi Digital Marketing Dalam Upaya Promosi Desa Wisata Imam Husni Al Amin; Dewi Handayani Untari Ningsih; Joko Handoyo; Muhammad Lutfi Mahasinul Akhlak; Veronica Lusiana; Budi Hartono
To Maega : Jurnal Pengabdian Masyarakat Vol 7, No 3 (2024): Oktober 2024
Publisher : Universitas Andi Djemma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/tomaega.v7i3.2862

Abstract

Pengembangan potensi wilayah dapat mendorong kesadaran masyarakat desa yang memiliki potensi untuk menjadi destinasi wisata. Namun tantangan utama yang dihadapi adalah kurangnya kesadaran dan partisipasi masyarakat dalam membangun dan mengelola potensi wisata tersebut. Tujuan pegabdian Masyarkat ini adalah untuk mengidentifikasi peran tokoh pelopor dan penggerak masyarakat, khususnya pemuda, dalam memanfaatkan teknologi informasi untuk mempromosikan Desa Wisata Wonolopo melalui strategi digital marketing. Metode deskriptif dan pendekatan kualitatif digunakan untuk mengeksplorasi peran masyarakat dan pemuda dalam pengembangan desa wisata, serta bagaimana digital marketing diterapkan sebagai alat utama untuk mempromosikan potensi desa. Data diperoleh melalui wawancara, observasi, dan studi literatur. Hasil pengabdian ini menunjukkan keterlibatan aktif pemuda sebagai inisiator dan penggerak dalam memanfaatkan teknologi informasi, terutama media sosial dan platform digital  berdampak positif pada peningkatan kunjungan wisata dan revitalisasi ekonomi lokal, sehingga dapat disimpulkan bahwa digital marketing merupakan strategi yang efektif dalam mempromosikan desa wisata, dengan peran aktif pemuda sebagai kunci suksesnya implementasi strategi tersebut. Selanjutnya dapat dikembangkan model pelatihan digital marketing bagi masyarakat desa lain yang memiliki potensi wisata serupa, serta melakukan evaluasi terhadap dampak jangka panjang.
Content-based filtering using cosine similarity algorithm for alternative selection on training programs Abdurrafi, Muhammad Falah; Ningsih, Dewi Handayani Untari
Journal of Soft Computing Exploration Vol. 4 No. 4 (2023): December 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v4i4.232

Abstract

The large selection of training programs provided by the Ministry of Manpower of the Republic of Indonesia makes it difficult for prospective trainees to choose a training program that suits their interests and needs. The purpose of this research is to support the selection process so that an appropriate method is needed to recommend the selection of training programs that match the interests and needs of users. One of the selection methods that can be used is the Content-Based Filtering method with similarity measurement using Cosine Similarity. The content-based filtering method is a content-based filtering method, which recommends training programs based on the suitability between the description of the training program and the interests of prospective trainees using the cosine similarity distance measurement. The test results using the Content-Based Filtering method were able to achieve an average precision value of 88%, indicating the ability of the system to provide training program recommendations that are very relevant and in accordance with the interests and needs of the trainees.
Improved playstore review sentiment classification accuracy with stacking ensemble Santoso, Dwi Budi; Munna, Aliyatul; Untari Ningsih, Dewi Handayani
Journal of Soft Computing Exploration Vol. 5 No. 1 (2024): March 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i1.247

Abstract

In today's digital era, user reviews on the Playstore platform are an invaluable source of information for developers, offering insights that are critical for service improvement. Previous research has explored the application of stacking ensemble methods, such as in the context of predicting depression among university students, to enhance prediction accuracy. However, these studies often do not explicitly detail the data acquisition process, leaving a gap in understanding the applicability of these methods to different domains. This research aims to bridge this gap by applying the stacking ensemble approach to improve the accuracy of sentiment classification in Playstore reviews, with a clear exposition of the data collection method. Utilizing Logistic Regression as the meta classifier, this methodology is executed in several stages. Initially, data was collected from user reviews of online loan applications on Google Playstore, ensuring transparency in the data acquisition process. The data is then classified using three basic models: Random Forest, Naive Bayes, and SVM. The outputs of these models serve as inputs to the Logistic Regression meta model. A comparison of each base model output with the meta model was subsequently carried out. The test results on the Playstore review dataset demonstrated an increase in accuracy, precision, recall, and F1 score compared to using a single model, achieving an accuracy of 87.05%, which surpasses Random Forest (85.6%), Naive Bayes (85.55%), and SVM (86.5%). This indicates the effectiveness of the stacking ensemble method in providing deeper and more accurate insights into user sentiment, overcoming the limitations of single models and previous research by explicitly addressing data acquisition methods.
MAKSIMALISASI POTENSI PEMASARAN DIGITAL UMKM MANYARAN: STRATEGI COPYWRITING DAN HOOK YANG TERBUKTI EFEKTIF Saefurrohman, Saefurrohman; Khristianto, Teguh; Hartono, Budi; Lusiana, Veronica
Intimas Vol 5 No 1 (2025)
Publisher : Fakultas Teknologi Informasi dan Industri Unisbank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/intimas.v5i1.10006

Abstract

The entrepreneurs in Kelurahan Manyaran demonstrate substantial potential for UMKM development but face challenges in producing engaging and consistent digital content to sustain audience interest. The primary issue lies in limited understanding of copywriting techniques and the effective use of hooks. To address this, the FTII UNISBANK team, in collaboration with LPMK Manyaran, launched a community service program involving basic training in copywriting and hooks, AI-supported content creation, and ongoing mentorship. The program showed significant improvements in audience engagement and UMKM sales conversion, with an average engagement increase of 30%–50% within three months and a sales conversion rise from 5% to approximately 6.5%–7.5%. This sustained support aims to create a lasting positive impact, promoting business independence and fostering UMKM growth in the digital era.
Co-Authors - Sunardi Abdurrafi, Muhammad Falah Achmad Badjuri Achmad Badjuri ADAM, ALFUN Adi Suliantoro Agung Setyadi Agus Prasetyo Utomo Agustianto, Muchammad Lutfi Ahmad Ahfas Al Rasyid, Rio Alif Candra Pratama Alldie Refkrisnatta Alvin Chrismono Aminuyati Anggor, Ardie Septia Anggoro Teguh Adiyanto* Anisi, Yunus Arief Jananto Arif Sungkono Ariyani, Dewi Ayu Brian Krisnabel budi hartono Budi Hartono Budi Hartono Cahyani, Alya Takwarina Deva Ega Marinda Didit Iswantoro Dwi Agus Diartono Dwi Budi Santoso Dwi Budi Santoso Dwi Prakoso, Vikko Eddy Nurraharjo Edy Supriyanto Edy Winarno Endang Tjahjaningsih Endang Tjahjaningsih Endang Tjahjaningsih Enty Nur Hayati Eri Zuliarso Febriyan, Salma Eka Fitika Andraini Fitika Andraini Ginanjar, Muhammad Syukron Heribertus Yulianton Herina Dwi Nastiti Herny Februariyanti Imam Husni Al Amin Irawan, Pebry Irvan Ardiansyah Isworo Nugroho Joko Handoyo M. Riza Radyanto Mardi Siswo Utomo Much Aziz Muslim Muhammad Lutfi Mahasinul Akhlak Muji Sukur Munna, Aliyatul Novita Mariana Nurdin, Alya Aulia Pambudi, Risma Priyanti, Esteria R. Soelistijadi Radyanto, Mohammad Riza Retnowati Retnowati Rina Candra Noor Santi Rusiyanto Rusiyanto, Rusiyanto Saefurrohman Saefurrohman safurrohman . Sari, Anisa Rachma Sri Eniyati Sri Isnowati Sunardi . Syahrorini, Syamsudduha Teguh Khristianto Veronica Lusiana Veronica Lusiana Wahyu Prasetyo Wismarini, Th Dwiati Zuly Budiarso