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All Journal METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi The IJICS (International Journal of Informatics and Computer Science) Jurnal Mantik Jurnal Teknik Informatika (JUTIF)
Tri Ana Setyarini
STIKOM Uyelindo Kupang
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Designing an E-Learning System at SD Muhammadiyah 2 Kupang Based on Web Tri Ana Setyarini; Gregorius Rindu Iriane; Jimi Asmara
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

SD Muhammadiyah 2 Kupang is one of the institutions engaged in the world of education, especially at the elementary school level. Learning at Muhammadiyah 2 Kupang Elementary School using conventional or face-to-face methods became disrupted due to the Covid-19 pandemic that hit in Indonesia, learning at Muhammadiyah 2 Kupang Elementary School which was originally conventional, namely teachers and students doing the teaching and learning process directly in the classroom was forced to carry out online learning activities, namely students learning and teaching teachers must keep running even though students are at home. As a result, teachers have to do online learning using online media. This results in many teachers having difficulty in using online media to deliver material and assign assignments to students. Instead, the students have difficulty in checking the materials and tasks given by the teacher. The data collection techniques used in this study are interviews, library studies, observations and questionnaires, the creation of this application using Adobe Dreamweaver and MySQL databases. The results achieved in the creation of this e-learning design will facilitate the learning and teaching process between teachers and students in online learning. It is hoped that this e-learning design can help improve teaching and learning activities at Muhammadiyah 2 Kupang Elementary School.
Ferry Cruise Scheduler Information System Development Applying Spiral Method Jimi Asmara; Tri Ana Setyarini; Gregorius Rinduh Iriane
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 2 (2021): July 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i2.3129

Abstract

Information technology is familiar to the public as it is today, the presence of various innovations in the field of information technology has facilitated all human activities both directly and indirectly. PT ASDP Kupang branch is a national company engaged in crossing services that serve the community in the east nusa tenggara region, as for the problems that exist so far the people of east Nusa Tenggara have difficulty in accessing information about the ship's cruise schedule, passenger fare information and other information related to the cruise prospective passengers are required to come directly to the office to find the required information. This information system is created to help people who use ferry crossing services in East Nusa Tenggara province, The result of this application is that users can check the ship departure schedule, fare info, cruise routes and information related to ferry cruises in East Nusa Tenggara in real time anytime and anywhere by using a computer or smartphone connected to the internet network this application is made using PHP and Mysql programming languages
A Hybrid Decision Support Framework for Food and Nutrition Security Assessment Using Multi-Criteria Decision Making and Machine Learning Solikin, Solikin; Wicaksono, Harjunadi; Setyarini, Tri Ana; Khumaidi, Ali; Darmawan, Risanto
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5474

Abstract

Food and nutrition security assessment requires an adaptive analytical approach due to the multidimensional and temporal complexity of food systems. This study proposes a hybrid decision support system integrating Multi-Criteria Decision Making (MCDM) methods, namely Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), with machine learning to evaluate and predict food security indicators dynamically. Panel data from West Java and East Nusa Tenggara for the period 2018–2024 were analyzed to capture structural and temporal characteristics. AHP was used to determine expert-based indicator weights, which were applied in TOPSIS to generate regional food security scores. These scores were subsequently modeled using machine learning with temporal feature engineering, including lag variables and rolling statistics, and evaluated using time-series cross-validation. The results reveal a strong negative correlation (−0.7398) between AHP weights and machine learning feature importance, indicating complementary expert-based and data-driven perspectives. Ridge Regression achieved the best predictive performance with an R² of 0.9983 on training data and 0.8186 under cross-validation. East Nusa Tenggara outperformed West Java in TOPSIS scores (0.4829 vs. 0.4626), highlighting the importance of food stability and utilization. This study advances Informatics by enabling dynamic and adaptive food security decision support.
KLASIFIKASI SPASIAL TINGKAT KEMISKINAN RUMAH TANGGA MENGGUNAKAN NAIVE BAYES DI KECAMATAN WOTAN ULUMADO Cyrilius Budi De Fe Rento Lewo Manuk; Meliana O.Meo; Tri Ana Setyarini
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5955

Abstract

Household poverty is a social issue that requires accurate identification to ensure that poverty alleviation programs are implemented effectively and targeted appropriately. Wotan Ulumado Subdistrict, East Flores Regency, has diverse socioeconomic characteristics; therefore, a data-driven method is needed to classify household poverty levels. This study aims to analyze the socioeconomic factors associated with household poverty and apply the Naive Bayes method to classify households according to their poverty status. The data were collected through field observations, interviews, and a literature review. The variables examined included household income, number of dependents, the educational level of the household head, housing conditions, and asset ownership. The dataset consisted of 360 training records and 28 testing records. The classification process was conducted by calculating the prior, likelihood, and posterior probabilities for each poverty category. The classification categories comprised poor, moderately poor, and non-poor households. Evaluation using a confusion matrix showed that 26 out of 28 testing records were correctly classified, resulting in an accuracy rate of 92.86%. These findings indicate that the Naive Bayes method performs well in identifying household poverty levels based on socioeconomic indicators. The classification results can further be presented in the form of tables, graphs, and maps to illustrate the distribution of poverty levels and support local government decision-making in determining priority households and areas for poverty alleviation programs in Wotan Ulumado Subdistrict.
ANALISIS AKTOR PENENTU DAN PREDIKSI JENIS KONTRASEPSI PADA AKSEPTOR KB MENGGUNAKAN ALGORITMA RANDOM FOREST Mario Edmon Gasa; Tri Ana Setyarini; Dewi Anggraini
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5960

Abstract

The Family Planning (KB) program aims to control population growth, yet the high discontinuation rate due to mismatched contraceptive choices remains a major challenge in the field. Therefore, this study aims to develop an objective contraceptive prediction model using the Random Forest algorithm to minimize the risk of program failure. The methodology involved processing 4,500 acceptor records balanced into 9 contraceptive classes with 12 demographic variables, optimized via GridSearchCV, and evaluated using 5-Fold Cross Validation. The results indicate that the model operates stably with an average accuracy of 78.87%, achieving the best performance in the Fold-1 test at 81.67%. The model also demonstrated optimal recognition for the MOP and MAL classes (F1-Score 0.98), proving the algorithm's reliability in identifying classes with highly distinctive characteristics despite data overlap challenges within the Injectable and Pill classes. Feature Importance analysis reveals that Age (22.60%), Gender (14.39%), and Age at Marriage (12.44%) are the most dominant determining factors. This prediction model is implemented in a Flask application, serving as a practical decision-support tool for healthcare workers to provide instant, transparent, and targeted contraceptive recommendations.
EVALUASI SISTEM PEMERINTAHAN BERBASIS ELEKTRONIK (SPBE) DOMAIN LAYANAN PUBLIK PADA DINAS PARIWISATA KABUPATEN KUPANG Kresensia B. Hewen; Tri Ana Setyarini; Meliana O. Meo
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.6150

Abstract

The implementation of the Electronic-Based Government System (SPBE) has become an important strategy for improving the quality, efficiency, transparency, and accountability of public services in Indonesia. However, the effectiveness of SPBE implementation depends on the maturity of its governance and the integration of digital services across government institutions. This study aims to evaluate the implementation of the SPBE public service domain at the Kupang Regency Tourism Office based on the SPBE maturity assessment framework. A mixed-methods approach was employed by integrating quantitative and qualitative data. Quantitative data were collected through a 24-item questionnaire distributed to 66 respondents consisting of government employees, tourists, and tourism business actors, while qualitative data were obtained through interviews, observations, and documentation to support and explain the quantitative findings. The quantitative data were analyzed using a five-point Likert scale, whereas qualitative data were analyzed descriptively through data reduction, data presentation, and conclusion drawing. The results indicate that the SPBE public service domain achieved an index score of 3.17 (63.40%), categorized as Fair and corresponding to Maturity Level 3 (Defined). The highest score was achieved in electronic government administration services, while public complaint services, system interoperability, and service integration obtained the lowest scores. These findings suggest that SPBE implementation has been established but has not yet been fully integrated across the public service process. Therefore, strengthening system interoperability, improving electronic complaint services, and enhancing service integration are recommended as priority strategies to improve the quality, effectiveness, and sustainability of digital public services at the Kupang Regency Tourism Office.
Co-Authors ali khumaidi, ali Cyrilius Budi De Fe Rento Lewo Manuk Darmawan, Risanto Dewi Anggraini Gregorius Rindu Iriane Harjunadi Wicaksono, Harjunadi Jimi, Asmara Kresensia B. Hewen Mario Edmon Gasa Meliana O. Meo Meliana O.Meo Muhammad Agus Muljanto Solikin Solikin