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All Journal Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer JUITA : Jurnal Informatika POSITIF Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization IJCIT (Indonesian Journal on Computer and Information Technology) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) CCIT (Creative Communication and Innovative Technology) Journal Jurnal SITECH : Sistem Informasi dan Teknologi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Mnemonic Abdimasku : Jurnal Pengabdian Masyarakat Journal of Information Technology Ampera Jurnal Algoritma, Logika dan Komputasi Journal of Business and Audit Information System (JBASE) IJECS: Indonesian Journal of Empowerment and Community Services Jurnal Pendidikan dan Teknologi Indonesia Jurnal Indonesia : Manajemen Informatika dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Janitra Informatika dan Sistem Informasi Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Nina Setiyawati
Universitas Kristen Satya Wacana
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Perancangan dan Evaluasi User Experience Aplikasi Virtual Event Menggunakan User Experience Questionnaire Kinanthi, Wikan Chandra; Setiyawati, Nina
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.393

Abstract

Since the end of 2019, the world has experienced a COVID-19 pandemic which affects every aspect of life. To get around and adapt in the new normal era, technology is the main tool that plays a role in changing human interaction behavior from offline to online. This encourages the diffusion of digital technology in society. One of them is the organization of events such as seminars and workshops that must continue to take place from the needs of the community. The platform commonly used in conducting virtual events is Zoom Meeting. However, there are several features that have not been accommodated in Zoom Meeting. In this study, user experience and user interface design for the EventGo visual event application were designed. Design on user experience on Zoom Meeting. Therefore, an evaluation of the UX of the Zoom Meeting application was carried out using UEQ. The UI/UX design of the EventGo application also uses UEQ. From the evaluation results, it was found that there was an increase in the average UX aspect of the EventGo application design.
Perancangan dan Evaluasi User Experience Aplikasi Virtual Event Menggunakan User Experience Questionnaire Kinanthi, Wikan Chandra; Setiyawati, Nina
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1072.564 KB) | DOI: 10.30645/j-sakti.v5i2.393

Abstract

Since the end of 2019, the world has experienced a COVID-19 pandemic which affects every aspect of life. To get around and adapt in the new normal era, technology is the main tool that plays a role in changing human interaction behavior from offline to online. This encourages the diffusion of digital technology in society. One of them is the organization of events such as seminars and workshops that must continue to take place from the needs of the community. The platform commonly used in conducting virtual events is Zoom Meeting. However, there are several features that have not been accommodated in Zoom Meeting. In this study, user experience and user interface design for the EventGo visual event application were designed. Design on user experience on Zoom Meeting. Therefore, an evaluation of the UX of the Zoom Meeting application was carried out using UEQ. The UI/UX design of the EventGo application also uses UEQ. From the evaluation results, it was found that there was an increase in the average UX aspect of the EventGo application design.
Pemetaan dan Klasterisasi Daerah Rawan Bencana Alam di Provinsi Sulawesi Tengah Menggunakan K-Means Sippan, Refli Bob; Setiyawati, Nina
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6161

Abstract

Secara geografis Provinsi Sulawesi Tengah terletak di antara pertemuan tiga lempeng serta dilintasi garis khatulistiwa, menyebabkan daerah Provinsi Sulawesi Tengah menjadi daerah yang cukup rawan terhadap berbagai bencana alam. Bencana alam yang terjadi dapat memberikan dampak besar terhadap lingkungan dan kehidupan masyarakat. Mengantisipasi sekaligus meminimalisir dampak yang akan terjadi akibat bencana, perlu dilakukan identifikasi wilayah yang beresiko tinggi terhadap bencana alam. Penelitian ini bertujuan melakukan pengelompokan daerah rawan bencana alam di Provinsi Sulawesi Tengah menggunakan algoritma K-Means serta merancang sistem informasi berbasis web untuk visualisasi data hasil clustering ke dalam bentuk peta interaktif. Hasil dari penelitian ini menunjukan bahwa terdapat lima daerah Kabupaten atau Kota di Provinsi Sulawesi Tengah yang masuk dalam kategori Daerah Rawan Bencana, dan delapan daerah yang masuk dalam kategori Daerah Tidak Rawan Bencana dengan hasil yang divisualisasikan ke dalam bentuk peta interaktif pada sistem informasi berbasis web yang telah dirancang. Hasil clustering dapat dikatakan sudah optimal, dibuktikan dengan hasil pengujian berdasarkan Davies Bouldin Index yang mendekati nol dengan nilai 0,6531711248. Adapun hasil dari penelitian ini diharapkan dapat menjadi alat dan acuan yang berguna bagi pemerintah serta pihak terkait dalam upaya perencanaan strategi mitigasi bencana dan meningkatkan kesiapsiagaan masyarakat terhadap bencana alam di Provinsi Sulawesi Tengah.
Aplikasi Android untuk Monitoring Lahan Pertanian secara Realtime Berbasis Internet of Things Jihot Lumban Gaol; Hindriyanto Purnomo; Budhi Kristianto; Radius Tanone; Yos Richard Beeh; Nina Setiyawati; Markus Permadi; Raynaldo Raynaldo; Riko Yudistira
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.3039

Abstract

The development of technology is very helpful in agriculture by using the internet to get the information we need. The problem that farmers think of is that they cannot easily and quickly get information in the form of light intensity, precipitation, soil pH, soil moisture, soil temperature, humidity and air temperature. When farmers get the information they need from agricultural land, they usually get information through the internet so they are considered less efficient as it is quite time consuming. To solve this problem, a system is designed using the research and development method (RnD). A new Android-based application that can display data in text and graphics that are more easily accessible to farmers. This study creates an Android-based mobile application based on tests using the Android interface to display information about agricultural land conditions and display graphical data that is updated every 5 minutes. Keywords— Land monitoring, Agriculture, IoT, Android Mobile Application
Implementation and Training of Congregation Data Management Application at GPID Eben Haezer Palu Bangkalang, Dwi Hosanna; Evangs; Setiyawati, Nina; Hartomo, Kristoko Dwi; Pakereng, Magdalena Ariance Ineke
IJECS: Indonesian Journal of Empowerment and Community Services Vol. 6 No. 1 (2025)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijecs.v6i1.5953

Abstract

Congregation data collection at GPID Eben Haezer is still done manually. This causes a lot of congregation data to be unsynchronized between the written data and the actual data. In addition, it also results in inefficient administrative services to the congregation. The vision of church digitalization also raises its own problems for the church, namely the unpreparedness of the church's human resources (HR) in digital capabilities. This Community Service (PkM) activity is to help and facilitate GPID Eben Haezer in implementing congregation data management applications and mentoring training in the process of adopting technology in church governance. The training activity was attended by 7 church admins and was carried out after the stages of formulating partner needs, adjusting and implementing the application. After the training, the application usability was measured using the System Usability Scale (SUS) and a score of 83 was obtained, indicating that the implemented application was EXCELLENT and ACCEPTABLE.  Keywords: Congregation Data Collection Application; Digital Skills; Training; System Usability Scale
Design and Implementation of an ETL Pipeline for Prospective Student Data Analysis in Higher Education Admissions Setiyawati, Nina; Bangkalang, Dwi Hosanna; Asmara, Gilang Windu
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5158

Abstract

The number of universities in Indonesia continues to grow. This condition certainly makes the flow of new student admissions increasingly competitive between universities, thus encouraging universities to do branding, show quality, and do the right positioning. Therefore, it is important for universities to adopt a data-driven approach that can provide in-depth insights into prospective students and the effectiveness of marketing strategies. The purpose of this study is to design and build an ETL (Extract, Transform, Load) pipeline to collect, process, and analyze prospective student data as part of the business intelligence (BI) system to be built. The proposed ETL architecture design supports automated microservices-based data transformation in data cleaning, normalization, and integration. In addition, it can also be used as a solution to increase the scalability and flexibility of data mobilization in the BI system. This study introduces a novel approach by designing an ETL pipeline within a business intelligence framework aimed at enhancing university marketing efforts. Unlike prior research, which has primarily applied business intelligence tools to evaluate academic activities within learning management systems, this work shifts the focus to marketing analytics. Additionally, while existing studies on higher education marketing often center around digital marketing techniques and the marketing mix, this research fills a gap by proposing a technical infrastructure that supports data-driven marketing through automated ETL processes. The resulting ETL was tested using several methods, namely Source to Target Count Testing, Source to Target Data Testing, Duplicate Data Check Testing, and Data Transformation Testing. The results of each test are valid
Penerapan Design Thinking pada User Interface Aplikasi Mobile Pembelajaran Bahasa Isyarat Indonesia Kristiadi, Nidia Claressa; Setiyawati, Nina
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 2: Agustus 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i2.2894

Abstract

Indonesian Sign Language (BISINDO) is the primary language used by the Deaf community in Indonesia. However, the lack of interactive learning media has become a barrier in the learning process, both for Deaf individuals and hearing people who wish to learn BISINDO. This study aims to design a more intuitive and user-centered mobile application interface (UI) for BISINDO learning by applying the Design Thinking method. Design Thinking is a user-centric approach consisting of five stages: empathize, define, ideate, prototype, and test. This study uses a qualitative research method through interviews, observations, and prototype testing with prospective users. The findings reveal that UI design using the Design Thinking approach significantly improves content readability, navigation ease, and overall user experience compared to conventional design approaches. These results indicate that Design Thinking is an effective approach for developing inclusive and adaptive learning application interfaces for both the Deaf and hearing users. This research contributes to the development of more empathetic, functional, and accessible sign language learning applications. Keywords: Indonesian Sign Language; BISINDO; Design Thinking; User Interface; Mobile Application. AbstrakBahasa Isyarat Indonesia (BISINDO) merupakan bahasa utama yang digunakan oleh komunitas Tuli di Indonesia. Namun demikian, keterbatasan media pembelajaran interaktif menjadi kendala dalam proses pembelajaran, baik bagi individu Tuli maupun pendengar yang ingin mempelajarinya. Penelitian ini bertujuan untuk merancang antarmuka pengguna (UI) aplikasi mobile pembelajaran BISINDO yang lebih intuitif dan sesuai dengan kebutuhan pengguna dengan menerapkan metode Design Thinking. Design Thinking merupakan pendekatan yang berpusat pada pengguna dan terdiri dari lima tahapan: empathize, define, ideate, prototype, dan test. Metode penelitian yang digunakan adalah pendekatan kualitatif melalui wawancara, observasi, dan pengujian prototipe bersama calon pengguna. Hasil penelitian menunjukkan bahwa perancangan UI dengan pendekatan Design Thinking memberikan peningkatan signifikan dalam hal keterbacaan konten, kemudahan navigasi, serta pengalaman pengguna secara keseluruhan jika dibandingkan dengan desain konvensional. Temuan ini menegaskan bahwa pendekatan berbasis Design Thinking efektif dalam menciptakan solusi antarmuka pembelajaran yang inklusif dan adaptif bagi komunitas Tuli dan pendengar. Dengan hasil ini, penelitian memberikan kontribusi terhadap pengembangan aplikasi pembelajaran bahasa isyarat yang lebih empatik, fungsional, dan mudah diakses oleh berbagai kalangan pengguna. 
Developing a Web-based MSME Sales Revenue Data Management and Reporting Portal Using OAuth 2.0 Setiyawati, Nina; Bangkalang, Dwi Hosanna
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 3 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i3.8598

Abstract

The Cooperatives and SMEs Service (DinKopUKM) under the Ministry of Cooperatives and SMEs play a vital role in coordinating the implementation of tasks, coaching and providing administrative support for MSMEs. In this research, a portal for managing MSME data and Sales Revenue reporting was carried out to support transparent information management, monitoring MSME business implementation, and encouraging orderly administration in MSMEs so as to optimize efforts to empower MSMEs. The portal was developed using Laravel technology for the backend and NextJS for the frontend, with a responsive web design so that it can be accessed from various devices. Apart from that, to support data integration and data communication with resources that have been built in previous research, OAuth 2.0 was implemented. The development process is in accordance with the Prototyping process model. The portal developed was tested using the black box testing method. It was found that this portal was in accordance with the needs and design of the system. The portal developed helps DinKopUKM in carrying out its duties of data collection on MSMEs, monitoring MSMEs, and encouraging MSMEs to maintain orderly administration
Perbandingan Bidirectional Encoder Representations from Transformers (BERT) Language Model pada Deteksi Emosi Bangkalang, Dwi Hosanna; Setiyawati, Nina
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 9 (2025): JPTI - September 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.988

Abstract

Informasi Tekstual menjadi salah satu cara untuk deteksi emosi. Namun, ekstraksi emosi menjadi tantangan tersendiri dikarenakan makna implisit dan eksplisit yang terkandung dalam teks. Pendekatan Ekstraksi makna emosi berbasis teks sudah banyak dilakukan dengan model deep learning. Meski begitu, performa komputasi dan akurasi model sering kali kontradiktif dikarenakan model yang kompleks. Oleh karena itu, dilakukan eksperimental model deep learning menggunakan BERT Model Language untuk deteksi emosi. Tujuan penelitian ini yaitu menghasilkan model deteksi emosi yang optimal dan akurat yang dapat memberikan performa komputasi yang rendah. Metode yang digunakan pada penelitian ini yaitu data collection, data pre-processing, arsitektur BERT, BERT Model Comparison, dan Model Evaluation. Model deteksi emosi terbaik ditemukan pada model DistilBERT dengan akurasi 0.9425 dan nilai F1 0.942. Berdasarkan evaluasi proses pembelajaran model DistilBERT, terdapat loss trend menurun sehingga model semakin mampu untuk melakukan prediksi emosi yang baik terhadap unseen data. Model deteksi emosi yang diusulkan, menghasilkan performa lebih unggul dibandingkan dengan model deteksi emosi menggunakan deep learning pada penelitian sebelumnya dimana model ini dapat meminimalisir kompleksitas model deteksi emosi, mengurangi komputasi namun tetap memberikan performa yang optimal.
Perancangan Model Pengenalan Emosi Berbasis Teks Berbahasa Inggris Menggunakan Lima Algoritma Klasifikasi Machine Learning Soebroto, Dorkas Tri Oktavena; Setiyawati, Nina; Bangkalang, Dwi Hosanna
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 9 (2025): JPTI - September 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1084

Abstract

Saat ini, interaksi melalui platform teks marak dilakukan seperti media sosial, layanan pelanggan daring, dan forum diskusi. Oleh karena itu analisis Text Emotion Recognition (TER) menjadi sangat krusial. Namun, emosi dalam teks bersifat kompleks, kontekstual, dan sering kali bersifat implisit, sehingga tidak dapat dengan mudah diidentifikasi menggunakan pendekatan konvensional. TER merupakan proses identifikasi dan klasifikasi emosi dalam teks secara otomatis menggunakan teknik machine learning. Penelitian ini bertujuan untuk merancang model pengklasifikasian emosi berbasis teks menggunakan berbagai algoritma classification machine learning. Data teks dikategorikan ke dalam enam emosi utama: sadness, joy, love, anger, fear, dan surprise. Tahapan preprocessing meliputi tokenisasi, stop word removal, dan lemmatization, sedangkan fitur teks direpresentasikan dalam bentuk numerik menggunakan Term Frequency-Inverse Document Frequency (TF-IDF). Lima algoritma machine learning, yaitu Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest, Logistic Regression, dan Multinomial Naïve Bayes, digunakan dalam pelatihan dan evaluasi model. Hasil penelitian menunjukkan bahwa model SVM dan Random Forest memberikan performa terbaik dengan akurasi mencapai 85% pada data uji. Dengan demikian, pendekatan machine learning, khususnya SVM dan Random Forest, terbukti efektif dalam klasifikasi teks emosi dan dapat diterapkan dalam berbagai aplikasi analisis sentimen. Model TER hasil eksperimental akan dilanjutkan untuk diimplementasikan pada aplikasi penanganan psikologis korban kekerasan berbasis gender (KBG) yang telah dibangun pada penelitian sebelumnya.
Co-Authors Ade Iriani Agustinus Fritz Wijaya Aleksander Bagas Andrean Richardo Andreas Adi Nugroho Andreas Gibran Nethanel Paat Andrew Robot Feldy Najoan Ariyansa, Budi Asmara, Gilang Windu Benedict Hardyanto Harjono Budhi Kristianto Danny Manongga Devylia Todingbua Dewi, Eka Kamilla Dian Novita Kristiyani Dinda Fitri Ningtyas Dwi Hosanna Bangkalang Dyarenggasto, Yuven Prisma Eben Haezer, Eben Haezer Yena Kristianto Ellyandrew, Bravelyan Edgar Randista Elya Eko Widiyanto Evangs Evangs Mailoa Gabrielle Beauty Linelejan Hanna Prillysca Chernovita Hanusia Manuel Oktrivania Zamili Hariyanto, Malvin Hendry, - Herlambang Adi Wicaksono Hindriyanto Dwi Purnomo Irwan Sembiring Jihot Lumban Gaol Juniarto Christiawan Hartono Kevin Harlim Lim Kinanthi, Wikan Chandra Kosasih, Billy Chrisdianta Kristiadi, Nidia Claressa Kristoko Dwi Hartomo Linelejan, Gabrielle Beauty Lumban Gaol, Jihot Maarif, Muhamad Makhasinul Magdalena Ariance Ineke Pakereng Markus Permadi Najoan, Andrew Robot Feldy Nataldo Noya Ningtyas, Dinda Fitri Permadi, Markus Pitarto, Yuhono Indra Posumah, Theresia Mutiara Pratyaksa Ocsa Nugraha Saian Prayogi, Yosef Agil Pribadi, Jemy Agung Purwoko, Agus Radius Tanone Rafael Jonathan Rani Kusuma Wardhani Raynaldo Raynaldo Raynaldo Raynaldo, Raynaldo Reinhard Alfaries Saemani Rezal Hiariej Riko Yudistira Saluling, Jefferson Julystian Hendrik Sippan, Refli Bob Soebroto, Dorkas Tri Oktavena Sterry Fleanry Mulaki Totti, Francesco Adhimas Tri Darma Krismanda Vania Harianto Putri Tjandra Vio Ayu Oktavia Putu Warisman Wicaksono Dwi Pamungkas Wijaya, Yemima Clara Yayi Suryo Prabandari Yerymia Alfa Susetyo Yohanes Puguh Suharjito Yos Richard Beeh Yos Richard Beeh Yudistira, Riko Yuliana T. B. Tacoh Yuny Tamariska Bota Yuven Prisma Dyarenggasto