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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ilmiah Matrik Sebatik Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika TEPIAN Buletin Poltanesa Bulletin of Information Technology (BIT) Informatika Wicida Jurnal Riset Inossa : Media Hasil Riset Pemerintahan, Ekonomi dan Sumber Daya Alam Journal of Informatics and Electronics Engineering
Ekawati, Hanifah
Manajemen Informatika, STMIK Widya Cipta Dharma Samarinda
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences

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Penerapan Algoritma XGBoost Dalam Prediksi Harga Sewa Kos Di Kota Samarinda Amalia Rahman; Amelia Yusnita; Hanifah Ekawati
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i1.2304

Abstract

The population growth and increasing economic activity in Samarinda City have led to a rising demand for temporary housing such as boarding houses. However, rental price determination is still largely based on the owner’s intuition rather than objective factors such as available facilities, room specifications, transportation accessibility, and proximity to public amenities. This study aims to develop a rental price prediction model for boarding houses using the Extreme Gradient Boosting (XGBoost) algorithm with a Knowledge Discovery in Database (KDD) approach. The research data were collected through a web scraping process from the Mamikos platform, yielding 231 initial records, which were then cleaned and filtered for outliers, resulting in 225 valid data points. Five main features derived from feature engineering were utilized in the model, namely Facility Score, Combined Specification Score, Nearest Place Score, Transportation Score, and Rental System Score. The evaluation results show that the XGBoost model achieved a Mean Absolute Error (MAE) of Rp348,822, a Root Mean Squared Error (RMSE) of Rp416,139, and a coefficient of determination (R²) of 0.612. These values indicate that the model can explain 61.2% of the variation in rental prices with reasonably good predictive performance. The feature importance analysis reveals that Facility Score and Combined Specification Score are the most influential factors affecting rental prices, while transportation and rental system factors contribute less significantly. This study is expected to serve as a reference for boarding house owners, tenants, and policymakers in determining more objective and competitive rental prices based on a data mining approach.
Analysis of Content Engagement Rate on Wicida Tv's Instagram Account Vania Diva Az-zira; Ita Arfyanti; Hanifah Ekawati
Poltanesa Vol 27 No 1 (2026): June 2026
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v27i1.3825

Abstract

Wicida Tvis one of the UKM (Student Activity Units) at STMIK Widya Cipta Dharma. The UKM has various social media and in this study the Wicida TvInstagram account was chosen, which aims to analyze the level of interaction with followers and other users on the content published on the Wicida Tv’s Instagram account. By using a mix method approach, with a focus on quantitative calculations for engagement rate results and qualitative methods are used to support the results of quantitative calculations. Data was collected based on Instagram content both photos, video viewers, reels, and posters uploaded in the last 1 year period (2025), in collecting engagement rate data not only using the number of likes, comments, shares, and reposts, but also can be taken by measuring how often people click on the link and bio in the post as well as the distribution of questionnaires which will later be processed using SPSS tools. The results of the analysis show that the engagement rate of the content on the Wicida TvInstagram account on average has an average engagement rate that can be said to be quite good. And while users are generally more interested in entertainment content than formal educational content, factors such as upload time and creativity have been shown to influence user engagement levels. This research provides insights for social media account managers in improving content strategies to achieve optimal follower engagement.  
Decision Support System for Teacher Decision Following Teacher Professional Education (PPG) SMA / SMK East Kalimantan Province with Web-Based Smart Method Dana Aulia Rahman; Heny Pratiwi; Hanifah Ekawati
TEPIAN Vol. 2 No. 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i2.339

Abstract

Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province is higher education after an undergraduate education program that prepares students to have jobs with special skills requirements to become teachers. The problems in registration that occur at the East Kalimantan Provincial Education and Culture Office are: The calculation of the test data is still calculated manually, so it is necessary to build a Decision Support System for Determination of Participants in the Professional Teacher Education (PPG) for SMA / SMK in East Kalimantan Province using the Web-based SMART Method. The data collection method uses the observation method and the system development method uses the method of the decision support system, namely the intelligence, design, choice, and implementation stages. Because this method has clear, practical stages. Then the system testing is White Box and Beta Testing. With the existence of a Decision Support System for Determining Who Participates in Professional Education for Teachers (PPG) for SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the test results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) at the High School / Vocational School Level of East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. With the existence of a Decision Support System for Determining Who Participates in Professional Education for Teachers (PPG) for SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. With the existence of a Decision Support System for Determining Who Participates in Professional Teacher Education (PPG) at the SMA / SMK in East Kalimantan Province with the Web-based SMART Method, it can handle the calculation process when the test has been implemented. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. can handle the calculation process once the test has been executed. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application. can handle the calculation process once the test has been executed. In the testing results it can be concluded that the results of testing the questionnaire questions to ten (10) respondents can be concluded that more than 78.2% of respondents answered that the Determination Decision Support System Participating in Teacher Professional Education (PPG) for SMA / SMK in East Kalimantan Province with the SMART Method Web-based meets the criteria for a good website or web application.
Analisis Data Viewer Youtube Untuk Menentukan Waktu Terbaik Live Streaming Game Menggunakan Decision Tree Akhmad Rizky Fahrozy; Heny Pratiwi; Hanifah Ekawati
Journal of Informatics and Electronics Engineering Vol. 6 No. 01 (2026): Juni 2026
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara – Cimahi 40513 Jawa Barat – Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/jiee.v6i01.1577

Abstract

Permasalahan dalam penelitian ini adalah belum adanya acuan yang jelas dalam menentukan waktu optimal untuk melakukan live streaming yang dapat menghasilkan tingkat interaksi pengguna yang tinggi. Oleh karena itu, penelitian ini bertujuan untuk menentukan waktu terbaik dalam melakukan live streaming berdasarkan data aktivitas viewer pada platform YouTube Studio. Metode yang digunakan adalah Decision Tree dengan pendekatan CRISP-DM yang meliputi enam tahapan, yaitu business understanding, data understanding, data preparation, modeling, evaluation, dan deployment. Dataset yang digunakan berjumlah 50 data, kemudian setelah dilakukan proses pembersihan menjadi 46 data yang valid untuk dianalisis. Hasil penelitian ini menunjukkan bahwa model Decision Tree mampu mengklasifikasikan performa live streaming ke dalam kategori rendah, sedang, dan tinggi dengan tingkat akurasi sebesar 0.60. Variabel yang paling berpengaruh adalah interaksi pengguna seperti chat, reaksi, dan durasi tonton. Berdasarkan hasil analisis, diperoleh waktu optimal untuk melakukan live streaming yaitu pada hari Selasa pukul 00:00 dengan kategori performa tinggi. Dengan demikian, dapat disimpulkan bahwa waktu memiliki pengaruh terhadap tingkat engagement pengguna, dan penelitian ini mampu memberikan rekomendasi waktu live streaming yang optimal berbasis data untuk membantu content creator dalam meningkatkan performa siaran.
DIGITAL LITERACY LEVEL OF SCHOOL AGE CHILDREN IN SAMARINDA CITY AS AN IKN PARTNER: TINGKAT LITERASI DIGITAL ANAK USIA SEKOLAH DI KOTA SAMARINDA SEBAGAI MITRA IKN Muhammad Ibnu Sa'ad; Nursobah; Pajar Pahrudin; Pitrasacha Adytia; Hanifah Ekawati; Salmon
Jurnal Riset Inossa : Media Hasil Riset Pemerintahan, Ekonomi dan Sumber Daya Alam Vol. 7 No. 2 (2025): December
Publisher : Badan Perencanaan Pembangunan Daerah, Penelitian dan Pengembangan Kota Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54902/84xcbr23

Abstract

The rapid development of digital technology has had a significant impact on the behavior patterns and learning processes of children, especially those at the elementary school (SD) and junior high school (SMP) levels. On the other hand, low digital literacy skills can result in negative impacts such as exposure to inappropriate content, digital addiction, and a lack of ability to think critically about the information received. This research aims to evaluate the digital literacy level of elementary and middle school age children and design an educational approach to improve this ability. The method used is a descriptive qualitative approach through observation, interviews with teachers and parents, as well as mentoring activities based on digital literacy modules. The research results show that most students have technical skills in using devices, but lack the aspects of digital ethics, personal data security and information analysis. Digital literacy training programs based on educational games and group discussions have proven effective in increasing students' digital literacy awareness and skills. In conclusion, digital literacy education needs to be provided from an early age with an approach that is appropriate to the child's age and world
Evaluation Of COCOMO Model Accuracy In Software Effort Estimation Umar Jeklin; Muhammad Ibnu Saad; Hanifah ekawati
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.2027

Abstract

Accurate effort estimation underpins on-time,on-budget software delivery. This study empirically assesses the baseline Constructive cost Model (COCOMO) by applying standard organic-mode parameters (a = 2.4, b = 1.05) to the COCOMONASA dataset, which contains 63 NASA projects ranging from 2 KLOC to 100 KLOC. Model ourputs are benchmarked against recorded person-month effort using Mean Absolute Error (MAE), Mean Magnitude of Relative Error (MMRE), and Predcitions at 25 percent error (PRED 0.25). Results show MAE values 295-661 person-months and an MMRE near 1.0, indicating average relative error of ~100 percent. PRED (0.25) equals 0.0, meaning no project is estimated within the industry-accepted 25% band. Sensitivity tests on 5- and 20-project subsets reveal similar patterns, confiriming that the inaccuracy is systemic rather than dataset-specific. Using uncalibrated COCOMO in present-day projects poses a high risk of severe under- or over allocation of resources, potentially trigerring budget overruns and schedule slips. By quantitatively exposing where and how the baseline model fails, this work provides a benchmark for and a roadmap toward-targeted parameter calibration and hybrid approaches that incorporate additional cost drivers or machine-learning techniques. Future research should explore automatic parameter tuning and context-aware hybrid models to achieve dependable effort estimation in contemporary software engineering.
Co-Authors Akhmad Rizky Fahrozy Amalia Rahman Amelia Yusnita Dana Aulia Rahman Ekawati Yulsilviana Harpad, Bartolomius Heny Pratiwi Ita Arfyanti Muhammad Ibnu Sa'ad Muhammad Ibnu Saad Nila Ratna Sari Nila Ratna Wati Nursobah Nursobah, Nursobah Pahrudin, Pajar Pitrasacha Adytia Ramadhani Suciansyah Ramadhani Suciansyah Salmon Salmon Sepriyadi Belareq Siti Qomariah Sri Ratmini Umar Jeklin Vania Diva Az-zira Wahyuni - Wahyuni Yulindawati, Yulindawati Yunita Yunita