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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Sebatik JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURTEKSI MIND (Multimedia Artificial Intelligent Networking Database) Journal Aptisi Transactions on Technopreneurship (ATT) METIK JURNAL JURNAL IT: Media Infromasi STMIK Handayani Makassar Building of Informatics, Technology and Science INFOKUM Brahmana : Jurnal Penerapan Kecerdasan Buatan TEPIAN IJISTECH Buletin Poltanesa J-SAKTI (Jurnal Sains Komputer dan Informatika) Informatika Wicida Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Pedagogy and Education Science Journal of Informatics and Electronics Engineering TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi BEduManageRs Journal : Borneo Educational Management and Research Journal Information Technology Studies Journal Research in Education, Technology, and Multiculture

Heny Pratiwi

STMIK Widya Cipta Dharma

Author-ID : 279776

Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

Published : 71 Documents Claim Missing Document

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Sistem Monitoring Lulusan Perguruan Tinggi Dalam Memasuki Dunia Kerja Menggunakan Tracer Study Harianto, Kusno; Pratiwi, Heny; Suhariyadi, Yonatan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

This research is titled Monitoring System of Higher Education Graduates in Entering the World of Work Using Tracer Study. The problem raised in this study is that the BKK (Bursa Kerja Khusus) STMIK Widya Cipta Dharma Samarinda get information about the performance of STMIK graduate students Widya Cipta Dharma, analyze graduate data to obtain the relevance of the competency of STMIK graduates Widya Cipta Dharma Samarinda, change the old system into a system that new. The purpose of this research is to provide information and reports on the results of tracer study data collection from alumni of STMIK Widya Cipta Dharma Samarinda. Data collection methods used are literature study, field studies. The system development method used is the waterfall method. Informatic System of Alumnus Record Tracer Study Based Website of STMIK Widya Cipta Dharma Samarinda is a computer-based system that was built with the aim of processing the alumnus search to find out the description of the profile, performance, and distribution of work location of the alumnus. Informatic System of Alumnus Record Tracer Study Based Website of STMIK Widya Cipta Dharma Samarinda is expected to help assist the BKK (Bursa Kerja Khusus) in recording alumnus and record the track record of alumnus scattered in serveral areas.

Membangun Game Edutainment “Pengenalan Komputer” Menggunakan Shuffle Random (SR) Dan Finite State Machine (FSM) Untuk Anak Tunagrahita Ringan Pratiwi, Heny; Arfyanti, Ita; Sururi, M Za’iem
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Research to build an Edutainment Game "Introduction to Computers" for mild retarded children is a study designed for teachers to deliver material to special school students (SLB) with special needs such as children with visual impairment, hearing impairment, mental retardation, intellectual disability, autism and blindness. . In this game the player will be presented with a variety of learning menus about "Computer Devices" and a game menu consisting of a guessing picture quiz to train memory, then there are typing games and labyrinth games to develop motor movements and increase students' responses and interests. Shuffle and Finite State Machine randomization algorithms will be applied in this study, with the aim of arranging the image position to be randomized in the learning menu and typing games as well as randomizing the position of the main characters and enemies in the labyrinth game made in three levels. This is done to improve students' learning and curiosity. The technology applied in this research is intelligent agent (intelligent system) which has a game agent character that will accompany children to learn and play.

Perbandingan Algoritma ELM Dan Backpropagation Terhadap Prestasi Akademik Mahasiswa Pratiwi, Heny; Harianto, Kusno
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Extreme Learning Machine and Backpropagation Algorithms are used in this study to find out which algorithm is most suitable for knowing student academic achievement. The data about students are explored to get a pattern so that the characteristics of new students can be known every year. The evaluation process of this study uses confusion matrix for the introduction of correctly recognized data and unknown data. Comparison of this algorithm uses student data at the beginning of the lecture as early detection of students who have problems with academics to be anticipated. The variables used are the value of the entrance examination for new students, the first grade IP value, Gender, and Working Status, while the output variable is the quality value as a classification of academic performance. The results of this study state that the Extreme Learning Machine algorithm has a 14.84% error rate lower than Backpropagation 28.20%. From the model testing stage, the most accurate result is the Extreme Learning Machine algorithm because it has the highest accuracy and the lowest error rate.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v3i2.148

Development of Web and Android Based Employee Attendance Monitoring Application Pratiwi, Heny; Fitriani, Nur; Junirianto, Eko; Sa'ad, Muhammad Ibnu
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.738

This research was conducted to develop an Android-based employee attendance monitoring system that can assist the Department of Manpower and Transmigration of East Kalimantan Province in monitoring employee attendance, recapitulating employee attendance, and timely submission of attendance reports. The objective of this research is to simplify employee attendance monitoring and expedite the recapitulation of employee attendance lists at the Department of Manpower and Transmigration of East Kalimantan Province. The system development method used is the prototype model. This method consists of five stages: Communication, Quick Plan, Modeling Quick Design, Construction of Prototype, and Deployment Delivery & Feedback. The result of this research is a web-based information system for Administrators and Direct Supervisors to process data and monitor employee attendance, and an Android-based system for employees to record their check-in and check-out times. In the Android-based system, employees can also input attendance with various remarks such as early leave, absence, sick leave, personal leave, business trips, and external duties. The blackbox testing in this research shows that the system functions as expected, and the betabox testing results in a score of 89.60%.

Evaluation of the New Student Admission Website of STMIK Widya Cipta Dharma Using the End-User Computing Satisfaction Method Damaya, Filio Angga; Pratiwi, Heny; Yunita, Y
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.381

The New Student Admission (PMB) website is one of the platforms used in the admission and registration process for prospective students at STMIK Widya Cipta Dharma. An evaluation of the PMB website is necessary to ensure user convenience and satisfaction during the registration process. This study aims to evaluate the new student admission website of STMIK Widya Cipta Dharma using the End-User Computing Satisfaction (EUCS) method. The EUCS method consists of five main dimensions: content, accuracy, format, ease of use, and timeliness. Data was collected through questionnaires distributed to registered students, prospective students of STMIK Widya Cipta Dharma, and users of the PMB website. The analysis results indicate user satisfaction in using the PMB website.

Application of Large Language Model for New Student Admission Chatbot Anwar, Rafidan; Pratiwi, Heny; Wahyuni, W
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.379

This study aims to develop a chatbot system based on a Large Language Model (LLM) that provides information related to new student admission in higher education. The system utilizes the SentenceTransformer model to generate embeddings of question and answer texts, as well as FAISS for vector-based search. Additionally, LLAMA is used to generate context-based answers, allowing the chatbot to provide more dynamic and relevant responses. System evaluation is conducted using ROUGE-1, ROUGE-2, and ROUGE-L metrics. The evaluation results show an average ROUGE-1 Precision of 54.89%, ROUGE-2 Precision of 47.37%, and ROUGE-L Precision of 52.72%. The Recall scores for ROUGE-1, ROUGE-2, and ROUGE-L are 89.43%, 74.08%, and 82.91%, respectively

Optimization of Spareparts Stock Data Management at PT. Astra Motor Kaltim 2 using the Trend Moment Method Adeputra, James; Pratiwi, Heny; Wahyuni, W
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.380

Spareparts inventory management is a crucial aspect of operations in automotive companies, including PT. Astra Motor Kaltim 2. An imbalance between demand and spareparts availability can lead to stockpiling or stock shortages, ultimately resulting in operational cost inefficiencies. Therefore, this study aims to analyze and forecast spareparts sales using the Trend Moment method to optimize stock management. The Trend Moment method is used to identify sales trend patterns for sparepart 44711K59A12, based on historical sales data from September 2024 to February 2025. The forecasted results are then adjusted using a seasonal index to improve accuracy. Forecast accuracy is evaluated using the Mean Absolute Percentage Error (MAPE), which provides an overview of how close the forecasted results are to the actual data. The results of the study show that the Trend Moment method can provide fairly accurate predictions in estimating the demand for sparepart 44711K59A12 in the upcoming periods. By implementing this method, the company can develop a more efficient stock procurement strategy, reduce the risk of overstocking or stockouts, and improve customer satisfaction. In conclusion, this forecasting approach can serve as a solution to enhance the effectiveness of spareparts inventory management at PT. Astra Motor Kaltim 2

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.381

The Impact of Cancer on Poverty: An Analytical Study Using Big Data and OLS Regression Pratiwi, Heny; Muhammad Ibnu Sa’ad; Wahyuni, Wahyuni; Syamsuddin Mallala
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6112

Cancer is one of the leading causes of death worldwide and has a significant impact on the economic condition of families, especially in developing countries. High medical costs and loss of work productivity often push families of patients with cancer into poverty. This study aimed to analyze the relationship between cancer mortality rates and poverty levels using the Ordinary Least Squares (OLS) regression method and big data covering various socio-economic indicators. The data in this study include cancer mortality rates and other socioeconomic indicators, which were then analyzed using the OLS regression method to understand the quantitative relationship between the two variables. The results of the analysis show a positive correlation between cancer mortality rates and increasing poverty, with the regression model explaining 73.8% of the variation in the target variable. The regression model demonstrated strong explanatory power and minimal error, with an R-squared value of 0.738, indicating that 73.8% of the data variability was explained by the model. Model quality was supported by low AIC (19070.4) and BIC (19110.4) values. Linearity was confirmed by a significant F-statistic of 1314.0 (p < 0.01), suggesting a robust linear relationship between independent and dependent variables. All parameters exhibited statistical significance (p < 0.05) at the 95% confidence level, with mean residuals close to zero, satisfying the unbiased expectation assumption. Although the model results show good performance, the model's estimators show low variance, as evidenced by small standard errors (e.g., Incidence_Rate: 0.009, Med_Income: 1.89e-05) and a Durbin-Watson statistic of 1.725, indicating no autocorrelation. These metrics collectively confirmed the reliability and stability of the regression model.

Co-Authors Abed Nego Achmad Sadzali Muftisjar Ade Maulana Anshari Adeputra, James Ahmad Abul Khair Ahmad Fahrijal Pukeng Ahmad Fahrijal Pukeng Ahmad Fahrijal Pukeng Ahmad Fajri Ahmad Rofiq Hakim Ahmad Sabirin Aisyah Fajrianti Aisyah Fajriantini Akhmad Rizky Fahrozy Aldianur Fajri Alysa Anggelia Y Amelia Yusnita Ananta Putra, Resifa Andi Yusika Rangan Anggra Prima Angreani, Fadillah Anwar, Rafidan Arsita Ashari Ramadani Atventitus Etwin Loho Azahari Azahari Azahari Azahari Azahari Azahari Bai' Fathur Rayhan Bartolomius Harpad Cembes, Yosefina Chandra Panca Wibawa Cintami Amanda Putri Damaya, Filio Angga Dana Aulia Rahman Daru Caraka Daud Yefkanius Nassa Daud, Jundro Dendy Kurniawan Dessy Purnamasari Dovist Calvino Ekawati, Hanifah Ekawati, Hanifah Eko Junirianto Fadjri Astra Ryan Sinurat Harianto, Kusno Haristyawan, Ivan I Made Borneo Setyawan Ita Arfyanti Julio Enrico Frans Frans Kristian Vandi Hermawan Kristianus Catur Prasetya Ajang Kusno Harianto Kusno Harianto Lamsi, Rahmadiansyah Zain M. Irwan Ukkas Irwan Ukkas Ukkas M.Ariya Parengrengi Muhammad Alamsyah Zakaria Muhammad Andrian Muhammad Fachri Sanjaya Muhammad Fadhilah Muhammad Fahmi Muhammad Fahmi Muhammad Fahriawan Muhammad Ibnu Sa'ad Muhammad Ibnu Sa'ad Muhammad Ibnu Saad Saad Muhammad Ibnu Sa’ad Muhammad Raihan Ramandha Putra Muhammad Rega Praduana Muhammad Sadam Saktia Putra Novandra Satria Winata NUR FITRIANI Nursobah, Nursobah Nurul Hikmah Okvi Marsi Angela Claudia Pahrudin, Pajar Pitrasacha Adytia Putra, Muhammad Sadam Saktia Putri Wulandari Renni Mayasari Resifa Ananta Putra Rifka Karin Afinda Rizky Zakaryya Rasyad Ryan Artanto Halim SA'AD, MUHAMMAD IBNU Saad, Muhammad Ibnu Salmon Salmon Salmon Sarifmata Purnomo Sa’ad, Muhammad Ibnu Shinta Palupi Suhariyadi, Yonatan Sururi, M Za’iem Susi Salviati Syamsuddin Mallala Syamsuddin Mallala Ulfa Nurfadhila W Wahyuni, W Wahyuni - Wahyuni Y Yunita Yunita Yunita Zakaria, Muhammad Alamsyah

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