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All Journal PROCEEDING IC-ITECHS 2014 JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Jurnal Informatika Universitas Pamulang Applied Information System and Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) INTI Nusa Mandiri Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi dan Sistem Tertanam Jurnal Data Mining dan Sistem Informasi Journal Social Science And Technology For Community Service Journal of Soft Computing Exploration Jurnal Pendidikan dan Teknologi Indonesia Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Locus Penelitian dan Pengabdian Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Informatika: Jurnal Pengembangan IT
Styawati, Styawati
Unknown Affiliation
Aerospace Engineering Automotive Engineering 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 Languange, Linguistic, Communication & Media Mathematics

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Implementasi Sistem Monitoring Lingkungan Pada Budidaya Tanaman Hidroponik Berbasis IoT Pratama, Ariski; Styawati, Styawati; Samsugi, Selamet; Alim, Syahirul
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6649

Abstract

The increase in population and the reduction of agricultural land are major concerns in Indonesia. The country's population rose from 244,016,173 in 2010 to 277,534,122 in 2023, raising food needs. Population growth promotes the use of pesticides to protect agriculture;ntegration of hydroponic automation technology in households with limited land, such as for salad and sawmills, is expected to meet increasing food needs, reduce environmental impact, and improve well-being, in line with the SDGs.  however,excessive use can lead to environmental damage, water pollution, and health risks for humans. In addressing this problem, hydroponic planting media became a potential solution. Hydroponics is the cultivation of plants without soil, using a nutrient solution. This technology supports the Sustainable Development Goals (SDGs) with clean and sustainable crop growth. Integration of hydroponic automation technology for households with limited land, such as for salad and sawmills, is expected to meet increasing food needs, reduce environmental impact, and improve well-being, in line with the SDGs. Thus, hydroponics can be an effective solution in addressing the agricultural challenges facing Indonesia
SURVEY UKURAN KESAMAAN SEMANTIC ANTAR KATA Styawati, Styawati; Yulita, Winda; Sarasvananda, Sarasvananda
Jurnal Data Mining dan Sistem Informasi Vol 1, No 1 (2020): Agustus 2020
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jdmsi.v1i1.803

Abstract

Pengukuran kesamaan semantic antara kata telah dikembangkan dalam beberapa tahun terakhir. Pengukuran kesamaan semantic antar kata dikelompokkan menjadi tiga yaitu distance based method, information content based method  dan distance and information content based method. Distance based method adalah cara yang lebih alami untuk mengukur kesamaan semantic antara kata. Pendekatan ini memperkirakan jarak antara node yang sesuai dengan konsep yang dibandingkan. Information content based method menggunakan basis pengetahuan yang sistematis dan statistik informasi kata-kata dari database seperti WordNet, Corpus dan HowNet. Distance and information content based method merupakan penggabungan dari pendekatan berbasis jarak dengan pendekatan berbasis konten informasi.
ANALISIS SURVEI KEPUASAN MASYARAKAT MENGGUNKAN PENDEKATAN E-CRM (Studi Kasus : BP3TKI Lampung) Gede Sarasvananda, Ida Bagus; Anwar, Choirul; Pasha, Donaya; Styawati, Styawati
Jurnal Data Mining dan Sistem Informasi Vol 2, No 1 (2021): Februari 2021
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jdmsi.v2i1.1026

Abstract

BP3TKI Lampung has a problem in the section regarding the Community Satisfaction Survey (SKM) activity, namely the data processing of the survey results must be calculated manually so it takes a long time. It is expected from this research how to build a web-based community satisfaction survey system, where this system can directly calculate and display the final results of the survey in the form of graphs. In this study, data collection methods were used in the form of interviews, observation, literature review, and documentation at the BP3TKI Lampung office. . The system design is carried out using a modeling language using UML. While the programming used is PHP using the MySQL database. And for the system development method in the form of Extreme Programming. There are four stages in extreme programming, namely planning (planning), design (design), coding (coding), and testing (testing). The final result of this design produces a web-based community satisfaction survey system for BP3TKI Lampung which is expected to make it easier for agencies to conduct surveys and calculate survey results more easily and quickly.Keyword: System, Survey, Satisfaction, Society.
PENERAPAN NAÏVE BAYES CLASSIFIER UNTUK PENDUKUNG KEPUTUSAN PENERIMA BEASISWA Alita, Debby; Sari, Indah; Isnain, Auliya Rahman; Styawati, Styawati
Jurnal Data Mining dan Sistem Informasi Vol 2, No 1 (2021): Februari 2021
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jdmsi.v2i1.1028

Abstract

Scholarships are the provision of assistance in the form of financial assistance provided to individuals with the aim of being used for the sustainability of the education achieved. The problem that occurs in this research is that the process of determining which is still carried out conventionally the student section must check one by one the scholarship application files submitted by students because each data will be compared one by one according to predetermined criteria, which results in the student section becoming difficult in the decision so that It takes a long time, therefore we need a decision support system that can help schools make decisions about scholarship recipients.The Naive Bayes Classifier method is a method that can be used in decision making to get better results on a classification problem. The purpose of this study is to build a scholarship recipient decision support system using the Naïve Bayes Classifier method. In this study, a problem analysis was carried out using PIECES analysis and for the system development method using.The result of this research is that applying the naïve Bayes method to the scholarship recipient's decision support system can assist the school in determining the scholarship recipient more quickly and accurately. The scholarship recipient's decision support system was built using the Java programming language and MySQL database. Keyword: Decision Support Systems, Naïve Bayes Classifier, Waterfall, Blackbox Testing, PIECES
MODEL KLASIFIKASI PENERIMA PROGRAM KARTU INDONESIA PINTAR MENGGUNAKAN METODE XGBOOST Nurkholis, Andi; Styawati, Styawati; Susi, Susi; Munawar, Alifah Chairul
INTI Nusa Mandiri Vol. 20 No. 2 (2026): INTI Periode Februari 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i2.7770

Abstract

Poverty is one of the major factors contributing to the low quality of education in Indonesia. The Smart Indonesia Program (Program Indonesia Pintar) is a cash assistance program distributed through the Smart Indonesia Card (Kartu Indonesia Pintar/KIP) to support students from economically disadvantaged families, ranging from elementary to higher education levels. This study aims to classify students who are eligible to receive the Smart Indonesia Card using the XGBoost method, with a case study conducted at SMPN 02 Kebun Tebu. The dataset used in this study consists of independent and dependent variables. The independent variables include father’s age, mother’s age, father’s education level, mother’s education level, father’s income, mother’s income, number of family dependents, and students’ academic average scores. The dependent variable is the eligibility status of KIP recipients as the target class. Two classification models were developed using data split ratios of 70:30 and 80:20. The model with a 70:30 data split achieved an accuracy of 0.9048, a precision of 0.9034, a recall of 0.9072, and an F1-score of 0.9053. Meanwhile, the model with an 80:20 data split demonstrated better performance, with an accuracy of 0.9167, a precision of 0.9149, a recall of 0.9189, and an F1-score of 0.9169. The optimal model obtained from this study can be utilized by schools to support policy decision-making in determining eligible Smart Indonesia Card recipients, ensuring that educational assistance is distributed accurately, adequately, and equitably
Co-Authors Adrian, Qodhli Jafar Afredha, Arya Agustian, Rezi Dwi Al Faroqi, M. Ibnu Aldo Pramana Alita, Debby Amanda, Feby Andi Nurkholis Andika, Rio Andrey Ferriyan, Andrey Anggita, Rizki Devi Apriyadi, Chandra Ardani, Ravi Ari Tri Arfat, Muhammad Fadilah Asyad, Chafidz Azahra, Maulida Bagas Setiawan, Bagas Choirul Anwar deviana, lyla putri Dewa, Ananda Asmoro Edistira, Khusnul Febriyansyah, Akhmad Febriyo Gede Sarasvananda, Ida Bagus Hepri, Alfian I Komang Arya Ganda Wiguna Ida Bagus Gede Sarasvananda Indah Sari Indra Kurniawan Indraningtyas, Lathifa Ismail, Izudin Isnain, Auliya Rahman Jaya, Dicky Suman Jupriyadi, Jupriyadi Khoiri, Rizky Dafa Kurniawan, Medy Dwi Kuswara, Muhammad Shidiq Mahendra, Anton Munawar, Alifah Chairul Pasha, Donaya Pranata, Rangga Prastowo, Agung Tri Pratama, Ariski Qadhli Jafar Adrian Rahayu, Usman Puji Rifai, Jefri Andri Rizki Dalimunthe, Ernando S. Samsugi Saputra, Dian Tri Saputra, Hendi Sarasvananda, Sarasvananda Satrya, Alan Suhartanto, Alvi susi susi Syahirul Alim Syahirul, Alim Wijaya, Rio Yudha, Sandy Yulistiani Yulistiani, Yulistiani Yulita, Winda Yuri Rahmanto