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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab ITEJ (Information Technology Engineering Journals)
Dahlan Abdullah
Malikussaleh University
Computer Science & IT Engineering

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Measuring The Efficiency of Social Assistance Recipients in the Family Hope Program Using the Data Envelopment Analysis Method Fadilah Suryani Hasibuan; Dahlan Abdullah; Nunsina Nunsina
ITEJ (Information Technology Engineering Journals) Vol. 10 No. 2 (2025): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.268

Abstract

This study aims to measure the efficiency of aid distribution in the Family Hope Program (PKH) across six sub-districts in Medan Denai using the Data Envelopment Analysis (DEA) method. DEA allows a relative efficiency evaluation of multiple decision-making units (DMUs) by comparing inputs such as budget, number of officers, and recipients, against outputs like targeted beneficiary rate, distribution timeliness, and satisfaction level. The findings reveal that three sub-districts—Medan Tenggara, Tegal Sari Mandala I, and Tegal Sari Mandala II—achieved full efficiency with a score of 1. In contrast, Binjai, Denai, and Tegal Sari Mandala III were found to be inefficient due to higher input consumption not matched by proportional output. The study suggests that inefficient sub-districts can improve their performance by adopting the practices of efficient ones. These insights are expected to assist local governments in optimizing social assistance programs and ensuring better resource utilization.
OPTIMALISASI PENERIMAAN SISWA DI SMAN 2 SERUWAY MENGGUNAKAN METODE DATA ENVELOPMENT ANALYSIS Evi Ariani; Dahlan Abdullah; Cut Agusniar
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6530

Abstract

This study aims to analyze the efficiency level of the student admission process at SMAN 2 Seruway, Aceh Tamiang Regency, using the Data Envelopment Analysis (DEA) method. DEA was chosen because it is able to evaluate the relative efficiency of decision-making units that have many inputs and outputs without assuming the form of a production function. This method is considered more flexible than other methods such as MOORA, which are deterministic. The inputs used include parents' occupations, school of origin, and student majors, while the outputs are the Final School Exam (UAS) scores for science and social studies subjects. Data were analyzed for three Decision-Making Units (DMUs): 2022, 2023, and 2024. The results showed that 2022 was inefficient (efficiency 0.93), while 2023 and 2024 experienced high efficiency (1.14 and 1.06). Values above 1 indicate super-efficiency, indicating superior resource utilization. The final science exam score consistently dominated efficiency, while social studies scores showed no contribution. Similarly, from an input perspective, student majors were the most influential factor, while parental occupation and school of origin tended to be less influential. This study is limited by its three-year data period and its failure to consider non-academic variables. Practical implications of this research include the need to strengthen science subjects and map appropriate majors within student admissions strategies. Furthermore, DEA results can be used as a policy basis for allocating school resources more efficiently
IMPLEMENTASI CONTENT-BASED FILTERING DENGAN TF-IDF DAN COSINE SIMILARITY UNTUK SISTEM REKOMENDASI DESTINASI WISATA DI ACEH TENGAH: IMPLEMENTATION OF CONTENT-BASED FILTERING USING TF-IDF AND COSINE SIMILARITY FOR A TOURIST DESTINATION RECOMMENDATION SYSTEM IN CENTRAL ACEH Sara Oyadila; Dahlan Abdullah; Ar Razi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6532

Abstract

Central Aceh Regency possesses rich tourism potential, yet information about tourist destinations is often unstructured, making it difficult for travelers to choose locations that suit their preferences. This study aims to develop a tourism recommendation system based on Content-Based Filtering using TF-IDF and Cosine Similarity approaches. The system allows users to select up to five tourism-related attributes such as “culinary,” “picnic,” or “hiking” to receive destination recommendations with the highest similarity scores. The development process includes data collection from the Central Aceh Tourism Office, data preprocessing, term weighting using TF-IDF, and similarity calculation using cosine similarity. The implemented system successfully recommends three tourist destinations that best match user preferences. System testing using the black box method showed valid and expected results. The system achieved an accuracy rate of 85% during user testing, with a precision of 83% and recall of 81%, outperforming similar studies [14]. This study demonstrates that the Content-Based Filtering method is effective in delivering personalized and relevant tourism recommendations while supporting local tourism promotion efforts.
Co-Authors Ar Razi Cut Agusniar Evi Ariani Fadilah Suryani Hasibuan Nunsina Nunsina Sara Oyadila