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All Journal Teknika Jupiter JUITA : Jurnal Informatika Sisforma: Journal of Information Systems Register: Jurnal Ilmiah Teknologi Sistem Informasi Sistemasi: Jurnal Sistem Informasi Resona : Jurnal Ilmiah Pengabdian Masyarakat JTERA (Jurnal Teknologi Rekayasa) Jurnal Sinergitas PkM & CSR JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Teknologi Sistem Informasi dan Aplikasi JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Pengabdian kepada Masyarakat Jurnal Abmas Negeri (JAGRI) Edu Cendikia: Jurnal Ilmiah Kependidikan Jurnal Pendidikan Sains dan Komputer Jurnal Pengabdian Masyarakat Akademisi Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat eProceedings of Engineering Jurnal REKOMEN (Riset Ekonomi Manajemen) EduInovasi: Journal of Basic Educational Studies Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) SISFOTENIKA
Sarah Astiti S.Kom., M.MT
Universitas Telkom
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Penerapan Deep Learning pada Pengolahan Data Citra dan Klasifikasi Udang Vaname Menggunakan Algoritma Convolutional Neural Network Astiti, Sarah; Nopriadi, Nopriadi; Novrian, Willi; Putra, Yusran Panca
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5418

Abstract

Deep learning-based shrimp image processing has become a rapidly growing research field in recent years. This technology aims to increase efficiency and accuracy in various applications related to the fishing and aquaculture industry, such as monitoring shrimp health, disease detection, species classification, and assessing the quality and quantity of harvested crops. Based on observations to date, fish sellers and buyers in the market have difficulty distinguishing vaname shrimp cultivated in tarpaulin ponds and earthen ponds. This research aims to apply deep learning techniques to determine the classification of Litopenaeus vannamei shrimp cultivation results in earthen ponds and tarpaulin ponds. To facilitate this research, the author uses a classification method by applying two Convolutional Neural Network (CNN) architectures, namely Visual Geometry Group-16 (VGG-16) and Residual Network-50 (ResNet-50). The dataset used in this research is 2,080 images per class of vannamei shrimp from two types of shrimp ponds. The results of this research are learning rates of 0.001 and 0.0001 on the Stochastic Gradient Descent (SGD) and Adaptive Moment Estimation (ADAM) optimizer to evaluate their effectiveness in model training. The VGG-16 and ResNet-50 models were trained with a learning rate parameter of 0.0001, taking advantage of the flexibility and reasonable control provided by the SGD optimizer. Lower learning rate values ​​were chosen to prevent overfitting and increase training stability. Model evaluation showed promising results, with both architectures achieving 100% accuracy in classifying vannamei shrimp from ground and tarpaulin ponds. The conclusion of this research is to highlight the superiority of using SGD with a learning rate of 0.0001 versus 0.001 on both architectures, then the significant impact of optimizer selection and learning rate on the effectiveness of model training in image classification tasks
Pengembangan Aplikasi Mobile Dengan Menggunakan Scrum Model Untuk Deteksi Dini Stunting Ardilla, Yunita; Hakim, Ahmad Khairul; Maulidin, Much Firman; Faletehan, Aun Falestien; Astiti, Sarah
TEKNIKA Vol. 18 No. 2 (2024): Teknika Juli - Desember 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13135057

Abstract

Di era digital saat ini, teknologi mobile dan aplikasi berbasis Android telah menjadi kebutuhan utama masyarakat. Salah satu masalah kesehatan yang masih menjadi perhatian di Indonesia adalah stunting, yaitu kondisi gagal tumbuh pada anak akibat gizi buruk selama seribu hari pertama kehidupannya. Untuk mengatasi masalah ini, diperlukan solusi yang efektif dan tepat sasaran. Oleh karena itu, kami mengusulkan StuntApp sebagai aplikasi mobile yang memiliki tujuan mendeteksi dini stunting pada anak-anak. Aplikasi ini akan melakukan pengukuran dan analisis data antropometri anak-anak. StuntApp adalah aplikasi mobile berbasis Android yang dapat diunduh melalui Google Play Store. Pengguna aplikasi ini adalah masyarakat umum dan kader posyandu di masing-masing daerah. Melalui aplikasi ini, diharapkan orang tua dapat mendeteksi dini risiko stunting pada anak-anak, sehingga tindakan preventif dan intervensi yang tepat dapat segera dilakukan. Selain itu, aplikasi ini juga diharapkan dapat memberikan edukasi mengenai nutrisi dan kesehatan anak kepada orangtua, sehingga dapat membantu meningkatkan kesadaran dan pengetahuan tentang pentingnya gizi dan kesehatan anak. Pengembangan aplikasi mobile ini menggunakan metode scrum, dengan metode pengujian yang digunakan adalah black box testing.
Pengelompokan Destinasi Wisata di Batam Berdasarkan Daya Tarik dan Fasilitas Menggunakan Metode K-Means Clustering Astiti, Sarah; Harman, Rika; Darmansah, D
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 4 (2024): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i4.522

Abstract

Batam is one of the leading tourist destinations in Indonesia, has many attractions, ranging from marine tourism, history, to shopping. However, there is no classification of tourist destinations based on the attractions and facilities available, which makes tourism development less effective. This study aims to group tourist destinations in Batam City based on tourist attractions and available facilities using the K-Means Clustering method with Rapidminer Application processing. This grouping is expected to help the government and tourism actors in designing more effective tourism development strategies that are in accordance with the characteristics of each destination group. The data used in this study consists of several tourist destinations in Batam, where the variables measured include tourist attractions (natural beauty, culture, activities, and accessibility) and facilities (accommodation, transportation, public facilities, and other supporting services). The results of the study show that there are three main groups of tourist destinations that have different characteristics, namely the destination group with high appeal and facilities is cluster_2 with 3 destinations, the middle group is cluster_1 with 1 destination, and the low group is cluster_0 with 3 destinations.
Applying Artificial Intelligence to Analyze Emotions in Social Media Comments using Large Language Models Astiti, Sarah; Iswandi, Iswandi; Putra, Tomy Nanda; Darmansah, Darmansah
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (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.v14i3.5187

Abstract

Advancements in Large Language Models (LLMs) have opened new opportunities for emotion analysis in social media comments. This study aims to explore the application of LLMs in classifying users' emotions based on their comment texts across various social media platforms. The methodology involves collecting comment data from Twitter, Facebook, and YouTube, followed by text preprocessing using Natural Language Processing (NLP) techniques. LLMs such as GPT and BERT are evaluated for their ability to detect primary emotions including happiness, sadness, anger, and fear. The results show a precision of 0.89 (89%), recall of 0.80 (80%), and an F1-score of 0.84 (84%). These findings indicate that LLMs offer higher accuracy compared to conventional sentiment analysis methods, particularly in their ability to understand linguistic context and nuances.
Analisis Kepuasan Pengguna Terhadap Aplikasi Fore Coffee Menggunakan Metode End-User Computing Satisfaction Elisabeth Angela Susanto, Laurensia; Sarah Astiti
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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

Abstract

Industri food and beverage, termasuk Fore Coffee,sangat bergantung pada pemanfaatan teknologi digital,khususnya aplikasi mobile. Pengguna aplikasi Fore Coffeemelaporkan berbagai keluhan, seperti estimasi waktupemrosesan pesanan yang tidak akurat, bug/error, metodepembayaran terbatas, dan kecepatan aplikasi yang kurangoptimal. Penelitian ini bertujuan menganalisis tingkat kepuasanpengguna terhadap aplikasi Fore Coffee menggunakan metodeEnd-User Computing Satisfaction (EUCS), dengan lima variabelutama: content, accuracy, format, ease of use, dan timeliness.Data diperoleh dari 400 pengguna yang valid dari total 454responden kuesioner. Validitas dan reliabilitas instrumen diujimenggunakan Factor Loading dan Average Variance Extracted(AVE). Hasil uji hipotesis menunjukkan hanya variabeltimeliness (H5) yang berpengaruh signifikan terhadap kepuasanpengguna, sedangkan variabel lainnya (H1–H4) tidaksignifikan. Temuan ini memberikan dasar bagi rekomendasipengembangan aplikasi, antara lain peningkatan estimasiwaktu tunggu yang dinamis, penjadwalan pesanan yangfleksibel, notifikasi promo relevan, program loyalitas berbasispoin, promo eksklusif seperti cashback atau diskon, dan fiturumpan balik pengguna untuk peningkatan berkelanjutan.Kata kunci— Aplikasi Mobile, EUCS, Fore Coffee, Kepuasanpengguna, Teknologi Informasi
Perancangan Ulang Desain UI/UX Sistem Informasi Melalui Metode User Centered Design (Studi Kasus: Stikes Bina Cipta Husada) Bayu Hartanto, Aji; Astiti, Sarah
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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

Abstract

Sistem informaasi sarana dan prasarana diSTIKes Bina Cipta Husada digunakan untuk mendukungpengelolaan aset seperti bangunan, ruang, dan baranginventaris. Namun, sistem yang digunakan saat ini belummemiliki fitur peminjaman dan pengembalian barang sertatidak mendukung input data secara massal, sehinggamenghambat efisiensi kerja dan menurunkan pengalamanpengguna. Penelitian ini bertujuan untuk merancang ulangantarmuka pengguna (User Interface) dan meningkatkanpengalaman pengguna (User Experience) dengan menerapkanmetode User Centered Design. Pendekatan UCD dilaksanakanmelalui empat tahapan utama, yaitu memahami kontekspenggunaan, menentukan kebutuhan pengguna, merancangsolusi desain, dan mengevaluasi desain berdasarkan kebutuhantersebut. Data dikumpulkan melalui wawancara danpenyebaran kuesioner User Experience Questionnaire kepadastaf IT dan staf sarpras sebagai pengguna utama sistem. Hasildari penelitian ini menunjukkan peningkatan signifikan padaskor UEQ setelah dilakukan perancangan ulang, di mana aspekefisiensi, keandalan, dan kejelasan yang sebelumnya bernilairendah meningkat ke kategori baik dan sangat baik. Prototipehigh-fidelity yang dihasilkan telah berhasil mengintegrasikanfitur peminjaman, pengembalian barang, serta impor datamassal, dan mendapat tanggapan positif dari pengguna.Kata kunci— Perancangan Ulang, User Interface. UserExperience, User Centered Design, User ExperienceQuestionnaire.
Perencanaan Knowledge Management System Pada Organisasi IWAPI Provinsi Jawa Tengah Melalui Knowledge Management Roadmap Firardiansyah Prayitno, An-Nisa; Astiti, Sarah
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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

Abstract

Organisasi Ikatan Wanita Pengusaha Indonesia(IWAPI) Provinsi Jawa Tengah menghadapi tantanganpengelolaan pengetahuan, termasuk penyimpanan data yangtidak terpusat, ketergantungan pada platform pribadi,pencatatan manual, serta potensi hilangnya informasi pentingselama pergantian kepengurusan. Kondisi ini mengindikasikanurgensi penerapan Knowledge Management System (KMS) yangterstruktur dan terintegrasi untuk meningkatkan prosespengelolaan pengetahuan. Penelitian bertujuan merancangblueprint KMS disesuaikan kebutuhan spesifik organisasi,dengan pendekatan 10-Step Knowledge Management Roadmap.Tahapan penelitian mencakup analisis kebutuhankomprehensif melalui wawancara, observasi, dan studiliteratur. Analisis SWOT (Strengths, Weaknesses, Opportunities,Threats) diterapkan untuk menyelaraskan strategi manajemenpengetahuan dengan tujuan bisnis organisasi.Hasil perancangan blueprint KMS mencakup usulaninfrastruktur KM, identifikasi aset pengetahuan yang ada, danperancangan tim manajemen pengetahuan. Desain sistemterintegrasi menggunakan Unified Modeling Language (UML),termasuk use case diagram untuk fungsionalitas sistem, activitydiagram untuk alur kerja, dan class diagram untuk strukturbasis data. Untuk memudahkan visualisasi tampilan danfungsionalitas menggunakan high-fidelity prototype. Pengujianmenggunakan metode User Experience Questionnaire (UEQ)menunjukkan penilaian excellent pada kategori daya tarik,kejelasan, efisiensi, dan ketepatan, serta good untuk kebaruan.Keseluruhan penelitian menghasilkan blueprint KMS yangberfungsi sebagai panduan strategis bagi organisasimengembangkan sistem pengelolaan pengetahuan yang efektif,terstruktur, dan terpusat, meningkatkan efisiensi operasionaldan kolaborasi antar anggota.Kata kunci— Knowledge Management System, KnowledgeManagement Roadmap, IWAPI Provinsi Jawa Tengah, Prototype,User Experience Questionnaire
Penerapan Metode VIKOR dalam SPK Penentuan Strategi Pemasaran Produk UMKM Astiti, Sarah; Samosir, Khairunnisa; Nengsih, Yeyi Gusla; Darmansah, Darmansah
Jurnal Pendidikan Sains dan Komputer Vol. 5 No. 02 (2025): Artikel Riset Oktober 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v5i02.6977

Abstract

Usaha mikro, kecil, dan menengah (UMKM) adalah salah satu sektor penting dalam pembangunan ekonomi khususnya daerah purwokerto. Namun, karena keterbatasan modal, akses terhadap teknologi digital dan persaingan yang semakin ketat, banyak UMKM menghadapi kesulitan dalam menentukan strategi pemasaran yang tepat. Seringkali, strategi pemasaran yang tidak tepat menghasilkan jangkauan pelanggan dan daya saing produk yang lebih rendah di pasar. Tujuan dari penelitian ini untuk menentukan strategi pemasaran produk UMKM di purwokerto. Dengan menggunakan analisis multi-kriteria, strategi pemasaran alternatif yang ideal dapat ditemukan. Metode yang di gunakan yaitu Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR), metode ini untuk menilai dan memilih strategi pemasaran yang paling efektif berdasarkan beberapa kriteria yang relevan. Data penelitian terdiri dari lima strategi pemasaran yang berbeda yaitu pemasaran melalui media sosial, promosi di pasar, mengikuti pameran atau acara, bekerja sama dengan influencer local dan strategi door-to-door. Setiap strategi dinilai berdasarkan lima kriteria yaitu biaya implementasi, jangkauan konsumen, efektivitas promosi, kesesuaian dengan tren digital, dan kemudahan pelaksanaan. Hasil perhitungan menunjukkan bahwa strategi pemasaran melalui media sosial menempati peringkat pertama dengan nilai Q = 0,000 karena memiliki tingkat efektivitas yang tinggi, jangkauan yang luas, dan biaya yang relatif rendah. Strategi kolaborasi dengan influencer menempati peringkat kedua dengan nilai Q = 0,115 sebagai alternatif kompromi, dan strategi pameran atau event dan door to door menempati peringkat ketiga dengan nilai Q = 0,236. Oleh karena itu, penelitian ini menemukan bahwa metode VIKOR dapat menawarkan strategi pemasaran yang lebih terukur dan objektif untuk UMKM.
Comparative Analysis Of Usability Value On Online Shop Fashion Websites Using The System Usability Scale (SUS) Marpaung, Gaby Novitaria Dwi Andika; Astiti, Sarah; Fernandez, Sandhy
Journal of INISTA Vol 6 No 1 (2023): November 2023
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v6i1.1005

Abstract

The results of the We Are Social survey in April 2021, Indonesia is a country that has the highest percentage of e-commerce usage in the world. The increasing use of e-commerce in Indonesia and the most sought-after e-commerce products in the fashion sector make online fashion shops potentially good in Indonesia. The development of e-commerce engaged in fashion apart from having a mobile application, there is also a website that can be accessed without having to download it on the device used. The quality of an e-commerce website affects the number of users who choose to shop online from an e-commerce website. This research aims to find out whether there are differences in the usability value of websites in the field of online shop fashion contained in the top brand award in the retail category. The websites are Zalora.co.id, Berrybenka.com, Fashiontoday. co, and Cottonink.co.id. Knowing the usability level of the website uses the System Usability Scale (SUS) method. The four websites have different average SUS scores but for the grading scale, the four websites are in grade D, the adjective scale is in the OK category, acceptable is at the marginal level, and NPS is in the detractor category.
Utilizing Design Thinking and User Experience Research for Effective Agricultural Labor Recruitment Web Application Design Sabrina, Cut Luna; Astiti, Sarah
Journal of INISTA Vol 6 No 2 (2024): May 2024
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v6i2.1442

Abstract

The agricultural sector faces a significant challenge in recruiting a skilled workforce, with both landowners and tenant farmers struggling to find new laborers. Factors such as inadequate rural infrastructure and facilities, coupled with limited technology adoption, have diminished the appeal of working in the agricultural sector. Consequently, agricultural productivity has declined due to a shortage of adequate labor. To address this issue, a prototype web application named “Partner Tani” was designed to facilitate labor recruitment for farmers. The application design process employed the Design Thinking methodology and the User Experience Questionnaire (UEQ) to thoroughly understand user requirements. The design outcomes encompass both user interface and administrator interface components, developed using Figma. The prototype application features functionalities such as login, account registration, profile management, job posting and search, and complaint reporting. Evaluation using the UEQ revealed that the prototype application achieved exceptional scores across all user experience dimensions: Attractiveness (average score: 2,11), Perspicuity (average score: 1,42), Efficiency (average score: 2,33), Dependability (average score: 1,50), Stimulation (average score: 1,75), and Novelty (average score: 1,67). Average scores for Attractiveness, Efficiency, Stimulation, and Novelty fell within the “Excellent” range, while Perspicuity and Dependability scores were above average. These findings indicate that the “Partner Tani” application prototype holds promise in delivering a satisfying and efficient user experience for agricultural labor recruitment.
Co-Authors Abdi Dzikry, Sulthan Achmad Sholihin Achri Priyono Adji Seputro Agung Wicaksono Ajeng Nurdina Akmal Rafly Dzunurain Alvendo Wahyu Aranski Arif Wirawan Muhammad Atika Rahmadani Utami Br Ginting Aun Falestien Faletehan Bayu Hartanto, Aji Bergas Pamungkas Budy Satria Cahya Indah Safitri Chavia Zagita Darmansah Darmansah Darmansah Darmansah Darmansah, D Darmansah, Darmansah Dedy Agung Prabowo Didi Supriyadi Didi Supriyadi Dwi Januarita Ardianing Kusuma Dwi Mustika Kusumawardani, Dwi Mustika Dyah Aryani Elisabeth Angela Susanto, Laurensia Ella Venita Fadhila Naizita Ihzani Faza Bilwildi Emyu Firardiansyah Prayitno, An-Nisa Gilang Ramadhan Goran, Petrus Kerowe Gunawan Wibisono Gusla Nengsih, Yeyi Hakim, Ahmad Khairul Hana Tazkiyatun Nufus Harman, Rika Hizbi Muhammad Yazdi I Anna Tul Munikhah Irmayatul Hikmah Iswandi Iswandi Jaenal Arifin Kesit Galuh Kirana Khairun Nisa Meiah Khairun Nisa Meiah Ngafidin Kholidiyah Masykuroh Kholis Abdurachim Audah Krishnanda Raditya Mooduto Laras Julia Pratiwi Marpaung, Gaby Novitaria Dwi Andika Maryona Septiara Maulidin, Much Firman Muhammad faiz rizza mubarak Nanda Iryani Nanda Iryani Nenen Isnaeni Nicolaus Euclides Wahyu Nugroho Nopriadi Nopriadi Novrian, Willi Nur Aldiansyah, Akmal Nurul Fitriani Paradise, Paradise Putra, Riko Andrian Putra, Yusran Panca Ratih Alifah Putri Resad Setyadi Risqia, Lutfi Windu Rita Andini Rizal Swandy Aritonang Rohmah Kurniawati Rona Nisa Sofia Amriza Sabrina, Cut Luna Samosir, Khairunnisa Sandhy Fernandez Sandi Fadilah Santi Suciningtyas Saraswati, Sartika Sevia Indah Purnama Sisilia Thya Safitri Sukmadiningtyas Sukmadiningtyas Sukmadiningtyas Sukmadiningtyas Tomy Nanda Putra Triaji Morgana Kaban wahyu prabowo Wilda Imama Sabilla Yeyi Gusla Nengsih Yohanna Sitorus Yudha Saintika Yunita Ardilla