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All Journal PRISMA FISIKA Jurnal Sains dan Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnas Nasional Teknologi dan Sistem Informasi JOIV : International Journal on Informatics Visualization Computatio : Journal of Computer Science and Information Systems Jurnal Pajak Indonesia (Indonesian Tax Review) Jurnal Pilar Nusa Mandiri JURNAL REKAYASA TEKNOLOGI INFORMASI Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Ners JUSTIN (Jurnal Sistem dan Teknologi Informasi) International Journal of Advanced Science Computing and Engineering Jurnal Pengabdian Siliwangi JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) International Journal of Applied Information Systems and Informatics
Sulastri, Heni
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Physics Social Sciences Other

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Efektivitas Pemberian Aromaterapi Kulit Jeruk Untuk Mengurangi Intensitas Mual Muntah pada Ibu Hamil Trimester 1 di Tpmb Alfiatun Jannah Asmin Tahun 2024 Ayu Resky Mustafa; Anastasia, Sayu; Sulastri, Heni; Paojiah, Lisa Paridotul; Anastasi, Sayu; Tasya, Rosmayani Febryanti; Betrib, Aulia; Maryati, Titi; Murtasyilah, Yuni; Mawarni, Berliani Mega
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.47079

Abstract

Sebagian besar wanita hamil mengalami mual dan muntah pada berbagai tingkatan yang berbeda dan dapat terjadi setiap saat, terutama pagi hari yang dapat berdampak buruk bagi ibu dan janin. Berbagai upaya yang dapat dilakukan untuk mengurangi mual muntah pada masa kehamilan salah satunya dengan non farmakologis (aroma terapi kulit jeruk). Zat yang terkandung dalam kulit jeruk adalah minyak atsiri yang berguna untuk menstabilkan sistem saraf sehingga menimbulkan efek tenang bagi siapapun yang menghirupnya. Untuk mengevaluasi efektivitas pemberian aromaterapi Kulit Jeruk dalam mengurangi mual dan muntah pada ibu hamil trimester pertama di Di TPMB Alfiatun Jannah Asmin tahun 2024. Penelitian ini menggunakan desain quasi-eksperimental dengan pendekatan Pre-Post test without control design. pada 30 ibu hamil trimester pertama. Pengumpulan data dalam penelitian ini menggunakan data sekunder berupa wawancara dan angket. Angket menggunakan Pregnancy-Unique Quantification of Emesis (PUQE)-24. Selain itu juga menggunakan data primer berupa rekam medis dan kartu kontrol. Analisis uji yang digunakan adalah uji analisis univariat untuk mendapatkan karakteristik responden dan analisis bivariat dengan uji Marginal Homogeneity Wilcoxon Test.Rata-rata tingkat mual dan muntah sebelum intervensi adalah 2,93 dengan standar deviasi 0,785, sedangkan setelah intervensi turun menjadi 2,03 dengan standar deviasi 0,718. Rentang nilai sebelum intervensi adalah 2 hingga 4 dan setelah intervensi adalah 1 hingga 3 menunjukkan terdapat efektivitas aromaterapi Kulit Jeruk dalam mengurangi gejala mual dan muntah pada ibu hamil trimester pertama. Pemberian aromaterapi Kulit Jeruk terbukti efektif dalam mengurangi mual dan muntah pada ibu hamil Trimester I. Disarankan agar metode ini dapat dipertimbangkan sebagai alternatif non-farmakologis dalam manajemen mual dan muntah pada kehamilan awal.
Prediksi Penjualan Produk Menggunakan Algoritma Xtreme Gradient Boosting Sulastri, Heni; Gustiyandi, Zhehan; Aradea, Aradea
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 9, No 1 (2025): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v9i1.20419

Abstract

The rapid advancement of the digital era has intensified competition in the retail sector, including at SRC Pak Didin's store. One of the challenges faced by the store is suboptimal product management, which impacts its operational efficiency. Data Science offers solutions for enhancing business performance, such as improving operational efficiency and optimizing marketing or sales strategies. This study aims to predict product sales at SRC Pak Didin’s store using the XGBoost algorithm and to propose a sales strategy that can be applied to improve the store's operations. The dataset used in this research comprises 24 product types over the past three months, starting from September 2024. These products include instant noodles (various flavors such as fried, chicken broth, Aceh, and Soto), bottled tea, soft drinks, herbal drinks, instant coffee, snacks, biscuits, bottled water, bread, flour, sugar, seasoning mixes, ice cream, boxed milk, and other light snacks. The research employs the XGBoost algorithm to analyze sales data from the past three months and predict sales for the following month. Evaluation metrics used include Mean Squared Error (MSE) and R-squared (R²). The XGBoost model was tested in three scenarios: XGBoost Regression, XGBoost Regression Linear (single variable x), and XGBoost Regression Linear (two variables x), with the objective of identifying the best-performing model. The accuracy results show that the XGBoost Regression model achieved 96.56%, the XGBoost Regression Linear model with a single variable x achieved 99.22%, and the XGBoost Regression Linear model with two variables x achieved 99.59%. The XGBoost Regression Linear model with two variables was selected as the best model due to its highest accuracy score. This model can effectively predict product sales and provide actionable insights for developing sales strategies, benefiting SRC Pak Didin's store operations.
Model Awal Untuk Optimalisasi Kualitas Learning Management System Dalam Upaya Mendukung Transfer Of Knowledge Pada Penyelenggaraan Hybrid Learning Program Organisasi Penggerak R Reza El Akbar; Herawati, Linda; Sulastri, Heni
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 8 No. 1 (2023): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v8i1.215

Abstract

Kegiatan POP (Program Organisasi Penggerak) dilaksanakan selama tiga tahun dan saat ini telah selesai di tahun kedua. Kegiatan ini merupakan salah satu program kementerian Pendidikan dan Kebudaayaan Episode Keempat, dimana pemerintah berupaya untuk mendapatkan praktik baik dibidang Pendidikan dari organisasi masyarakat yang nantinya akan diterapkan di skala kabupaten atau kota, skala provinsi atau skala nasional. YSIC (Yayasan Sakata Innovation center) merupakan salah satu Yayasan yang mendapatkan kesempatan untuk berbagi praktik baik untuk melakukan Transfer of Knowledge dari Tim POP YSIC kepada guru dan kepala sekolah, untuk selanjutnya diterapkan kepada siswa di seolahnya masing-masing. Salah satu hal yang paling menetukan pada kegiatan ini yaitu adanya keberhasilan Transfer of Knowledge tersebut. Metode yang digunakan dalam Transfer of Knowledge yaitu menggunakan Model Hybrid Learning dengan menggunakan LMS (Learning Management System) yang telah dibuat pada tahun pertama kegiatan. Optimalisasi Kualitas LMS bisa dijadikan salah satu faktor yang akan mendukung proses Transfer of Knowledge. Tujuan penelitian pada tahap awal ini adalah membentuk model awal untuk pengukuran optimalisasi LMS pada platform LMS yang dibuat oleh YSIC pada tahun pertama. Penelitian ini merupakan rangkaian awal penelitian, yang sangat berkaitan dengan POP yang dilaksanakan oleh YSIC. Penelitian ini menggunakan metode pendekatan observasi dan wawancara dengan stakeholder dan perumusan model awal sebagai output pada penelitian ini menggunakan pendekatan Metode prototype. Hasil yang diperoleh berupa model awal pengukuran optimalisai LMS pada POP yang dilaksanakan oleh YSIC, model ini akan menjadi acuan pada penelitian lanjutan.
Implementasi Application Programming Interface (API) Google Calendar Sebagai Reminder Informasi Kegiatan Pondok Pesantren Sulastri, Heni; Rahmatulloh, Alam; Kurniawan, Asep
JST (Jurnal Sains dan Teknologi) Vol. 8 No. 1 (2019)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (582.596 KB) | DOI: 10.23887/jstundiksha.v8i1.17506

Abstract

Masyarakat pada saat ini hampir seluruhnya memiliki akun di dunia maya, terutama akun Googlesebagai salah satu raksasa internet yang menyediakan berbagai macam fasilitas untuk memudahkan penggunanya, dengan fitur yang disediakan sebagai Application Programming Interface (API) yaitu API Google Calendarmerupakan salah satu fasiliitas yang digunakan untuk pengingat (reminder) dan penjadwalan kegiatan.Pondok Pesantren memiliki jadwal kegiatan dan informasi yang harus diketahui oleh anggota Pondok Pesantren sebagai pengetahuan dan panduan kegiatan belajar mengajar atau kegiatan lainya yang akan dilakukan. Pondok Pesantren ini jadwal kegiatan dan informasi dipublikasikan dengan cara manual, maka dibutuhkan suatu sistem yang mengelola jadwal kegiatan dan informasi, serta mempublikasikan menggunakan Google Calendaruntuk memberikan pengingat (reminder)atau notifikasi agar tersampaikan kepada anggota Pondok Pesantren. Penelitian ini menggunakan metodologi pengembangan sistem Personal Extreme Programming (PXP)dan hasil dari penelitian ini yaitu API Google Calendartelah berhasil diimplementasikan pada apliksi pesantren reminder, yang dapat mengelola kegiatan dan menyampaikan informasi kegiatan kepada anggota Pondok Pesantren menggunakan Google Calendar. 
Analisis Kesenjangan Kualitas Layanan Sistem Informasi Yayasan Sakata Innovation Center Sriwahyuni, Dhea; Akbar, R. Reza El; Sulastri, Heni
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9 No 3 (2023): Desember 2023
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i3.2023.237-246

Abstract

Kualitas layanan dimasukkan sebagai ukuran keberhasilan sistem informasi. Hal inilah yang menjadikan setiap organisasi untuk bersaing meningkatkan layanannya. Peningkatan layanan dalam sistem informasi menjadi permasalahan utama pada Program Organisasi Penggerak Yayasan Sakata Innovation Center, dalam layanan tersebut terdapat 25 (dua puluh lima) atribut layanan yang diukur berdasarkan dimensi kualitas layanan. Dalam meningkatkan layanan secara efektif, digunakan 3 (tiga) metode penelitian yang berguna untuk mengidentifikasi layanan dan memberikan usulan perbaikan layanan Program Organisasi Penggerak pada sistem informasi Yayasan Sakata Innovation Center. Metode yang digunakan yaitu Service Quality, Importance Performance Analysis, dan Quality Function Deployment. Metode Service Quality berguna untuk menghitung nilai kesenjangan dengan rata-rata nilai kesenjangan sebesar -1,05 dan nilai kesenjangan terbesar berada pada dimensi kualitas tangible (bukti fisik) dengan nilai kesenjangan sebesar -1,34. Metode Importance Performance Analysis berguna untuk memprioritaskan atribut yang diperbaiki dan menghasilkan 13 (tiga belas) atribut layanan. Sedangkan metode Quality Function Deployment berguna untuk memberikan prioritas usulan perbaikan dan menghasilkan 7 (tujuh) usulan layanan.
Sentiment Analysis Of Student Opinion Related To Online Learning Using Naïve Bayes Classifier Algorithm And SVM With Adaboost On Twitter Social Media Ramli, Mohammad Rizal; Sulastri, Heni; Rianto, Rianto
Telematika Vol 20 No 2 (2023): Edisi Juni 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i2.8827

Abstract

Twitter is one of the social media that functions to express opinions on issues or problems that are currently happening, such as problems in the social, economic, educational and other fields. One of the issues being discussed so far is online learning. The government has issued a policy, one of which is for all students to study at home online by using a network to be able to interact with each other like in the classroom. The government's reason for issuing this policy is to break the chain of the spread of the Covid-19 virus, which until now has not subsided. Regarding this online learning policy, there are pros and cons. This opinion is widely expressed on social media, one of which is Twitter. Sentiment analysis is a method for analyzing an opinion which aims to classify texts. The Naïve Bayes Classifier and Support Vector Machine methods are methods machine learning that can be used for sentiment analysis. The problem in classifying text is that the resulting accuracy is less than optimal, so feature selection or boosting is needed to improve its accuracy. In this study, optimization of boosting was carried out using Adaboost. The purpose of this study is to compare the performance of the algorithm before and after using Adaboost. The results of the sentiment analysis on online learning obtained the highest accuracy results by the Naïve Bayes Classifier algorithm coupled with Adaboost of 99.26%, with a precision of 99.39% and recall of 99.20%.
Implementasi Algoritma Discrete Cosine Transform Untuk Kompresi Citra Pada Marker-Based Tracking Augmented Reality Sutrisman, Iwan; Widiyasono, Nur; Sulastri, Heni
Computatio : Journal of Computer Science and Information Systems Vol. 4 No. 1 (2020): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v4i1.5628

Abstract

Image compression with lossy techniques removes some information so it does not match the data received. This research was conducted to determine differences in the quality of original and compressed images, specifically on mark-based tracking. Image compression is done by implementing the Discrete Cosine Transform algorithm in the MATLAB program. DCT image compression test results can compress images up to 26% of the original size without significantly reducing image quality. The assessment results shown by the markers, in Vuforia, there was no change in star ratings, while in ARCore, there was an increase in the rating of 5-40 quality scores.DCT algorithm can be applied to image compression in marker-based tracking, especially in improving the quality of markers in ARCore.AbstrakKompresi citra dengan teknik lossy menghilangkan beberapa informasi sehingga tidak persis seperti data aslinya. Penelitian ini dilakukan untuk mengetahui perbedaan kualitas citra asli dan terkompresi, khususnya pada marked-based tracking. Kompresi citra dilakukan dengan mengimplementasikan algoritma Discrete Cosine Transform pada program MATLAB. Hasil pengujian kompresi citra menunjukkan bahwa algoritma DCT dapat memampatkan citra hingga 26% dari ukuran aslinya tanpa mengurangi kualitas gambar secara signifikan. Hasil pengujian rating marker menunjukkan, pada Vuforia, tidak terdapat perubahan star rating, sedangkan pada ARCore, terdapat peningkatan nilai rating sebesar 5-40 quality score. Algoritma DCT dapat diterapkan untuk kompresi citra pada marker-based tracking, khususnya dalam meningkatkan kualitas marker pada ARCore.
Analysis of Website Service Quality of Sistem Perizinan Online Kota Tasikmalaya (SIPENTAS) Using the Modified Webqual 4.0 and Importance Performance Analysis (IPA) Methods Rosita, Dea; Shofa, Rahmi Nur; Sulastri, Heni
Journal of Applied Information System and Informatic (JAISI) Vol 3, No 2 (2025): November 2025
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v3i2.17218

Abstract

Sistem Perizinan Online Kota Tasikmalaya (SIPENTAS) is a web-based service used to simplify the public licensing process. The existence of SIPENTAS is expected to increase the efficiency and effectiveness of services and support the implementation of online-based government in Tasikmalaya City. However, until now there has been no evaluation of the quality of the website based on user perceptions so it is not known to what extent this system meets user expectations and needs. This study aims to analyze the quality of the SIPENTAS website using Modified Webqual 4.0 which consists of four dimensions: Usability Quality, Information Quality, Interaction Quality, and Interface Quality and uses the Importance Performance Analysis (IPA) method to compare the level of performance and user interests and determine improvement priorities through quadrant mapping. The results of the study indicate that the quality of SIPENTAS is in the good category, with an average value of the level of conformity between performance and user expectations obtaining a percentage of 87.35%, an average value of the gap level of -0.58, and the results of the quadrant analysis there are six indicators that are priority for improvement related to the dimensions of Usability Quality and Interface Quality. Therefore, even though the quality of SIPENTAS services is in the good category, improvements to the six indicators need to be made so that website performance is more optimal and meets user expectations.
Analysis of Information Technology Governance of the Tasikmalaya City Manpower Service Using Framework COBIT 2019 Nurul Annisa, Tasya; Sulastri, Heni
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8989

Abstract

Currently, the success and continuity of a company or organization is very much based on IT, in terms of speed and results that can help increase the effectiveness and efficiency of business processes to achieve goals. In its implementation, the Tasikmalaya City Manpower Department had problems with software frequently occurring applications error (system failure to operate), while problems with the website was the loss and damage of information due to attacks from hackers. To overcome this, the agency does not yet have a special section that has full control over IT governance due to the lack of staff or employees who are IT experts. These problems can be identified thoroughly with governance using the COBIT 2019 framework. The form and content of the COBIT 2019 model are updated from the previous COBIT method and many new functions are added, including enabling improvements to the IT governance system. By conducting analysis, you can provide recommendations to improve the organization's capabilities to meet the agency's expectations and goals regarding IT governance in supporting its performance.Domain The COBIT 2019 used is APO and BAI with details of the APO07, APO08, APO13 and BAI08 processes. The results of measuring the capability level of the APO07 domain at the Tasikmalaya City Power Service get a capability level 3 value, the APO08 and BAI08 domains get a capability level 2 value, and the APO13 domain gets a capability level 1 value. Providing recommendations for improving the agency's information technology governance is expected to be able to carry out immediately improving the management of agency information technology so that it immediately reaches the expected level of capability.
IS/IT Master Plan using Ward & Peppard and IS Demand at Department of Agriculture, Food Security and Fisheries, Tasikmalaya Regency Husaeni, Nurul Azmi; Shofa, Rahmi Nur; Sulastri, Heni
Journal of Applied Information System and Informatic (JAISI) Vol 2, No 1 (2024): Mei 2024
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v2i1.10794

Abstract

The Tasikmalaya District Agriculture, Food Security and Fisheries Service is an office that has the task of assisting the regent in carrying out regional household affairs in the fields of agriculture, food security and fisheries. The Agriculture, Food Security and Fisheries Service of Tasikmalaya District is an agency that has just merged in the last 3 years as stated in the Tasikmalaya District Regent Regulation Number 59 of 2021. Based on Presidential Regulation Number 3 of 2003 and Presidential Regulation Number 95 of 2018 concerning Electronic-Based Government Systems (SPBE). So it is necessary to design a master plan for Information Systems and Information Technology using the Ward and Peppard method which consists of input and output stages and adds IS Demand as a tool to identify information system requirements made from an internal business analysis perspective. The results of this research are in the form of an output stage, namely compiling an IS business strategy with the results of 12 proposed information system priorities, an IT strategy with a proposed network infrastructure, and an IS / IT management strategy with a proposal for additional IT fields that support the business processes of the Tasikmalaya District Agriculture, Food Security and Fisheries Service
Co-Authors Acep Irham Gufroni Akbar, R. Reza El Alam Rahmatulloh Anastasi, Sayu Anastasia, Sayu Andri Ulus Rahayu Anwar, Muhammad Saiful Aradea Asep Kurniawan Asifa Asri Ayu Resky Mustafa Betrib, Aulia Faridah, Linda firmansyah maualana sugiartana nursuwars Gustiyandi, Zhehan Hidayat, Deri Kurnia Hidayat, Eka Wahyu Husaeni, Nurul Azmi Irani Hoeronis Irfan Darmawan Kurniati, Neng Ika Linda Herawati, Linda Liyana, Nur Farida Maryati, Titi Mawarni, Berliani Mega Murtasyilah, Yuni Nuphus, Fitriana Nurhayatun Nur Fajar Nur Widiyasono, Nur Nurul Annisa, Tasya Nurul Hiron, Nurul Paojiah, Lisa Paridotul Pratama, Fhanji Wilis Puspitasari, Novianti R Reza El Akbar Rachman, Andi Nur Rahamatulloh, Alam Ramli, Mohammad Rizal Rianto, Rianto Rosita, Dea Rosmasari Rosmasari, Rosmasari Shofa, Rahmi Nur Shopa, Rahmi Nur Sidik Ramdani, Cecep Muhamad Sriwahyuni, Dhea Sutrisman, Iwan Tasya, Rosmayani Febryanti