A STUDY ON THE APPLICABILITY OF TRAPEZOIDAL FUZZY AHP WITH FEATURE SELECTION: THE CASE OF SKSS SCHOLARSHIP RECIPIENTS AT BAZNAS EAST JAVA
Abstract
The One Family One Graduate (SKSS) scholarship program, managed by BAZNAS East Java, aims to alleviate the financial burden of higher education for underprivileged communities. However, the absence of clearly defined weights for each selection criterion may lead to unfairness in the selection process. This study aims to determine the objective weights of each criterion and to rank prospective scholarship recipients using the Trapezoidal Fuzzy AHP approach. The data were obtained from 78 scholarship applicants for the 2024 SKSS period and from questionnaires completed by three expert respondents (expert judgment). Feature selection was conducted to identify the most relevant criteria, resulting in 13 selected variables are tuition fee per semester (K₁), father's latest education level (K₂), father's income (K₃), mother's latest education level (K₄), mother's income (K₅), house size (K₆), amount of family installments (K₇), number of parental dependents (K₈), income of working family members (K₉), type of transportation used to campus (K₁₀), distance from home to campus (K₁₁), monthly allowance (K₁₂), and monthly income if the student is working (K₁₃). The results show that the criterion with the highest weight is tuition fee per semester (0.139142), while the lowest is Type of transportation to campus (0.059970). The highest priority subject is Subject 74 (S_74) with a total weight of 0.7964, whereas Subject 23 (S_23) ranks lowest with a total weight of 0.7723. These findings are expected to enhance the objectivity and fairness of the SKSS scholarship selection process.
Downloads
References
L. Ningrum, R. Nooraeni, S. M. Berliana, and L. K. Sari, “ASSOCIATION OF SDG INDICATORS OF THE SOCIAL DEVELOPMENT PILLAR IN INDONESIA USING THE APRIORI ALGORITHM,” Procedia Comput. Sci., vol. 245, pp. 450–459, 2024, doi: https://doi.org/10.1016/j.procs.2024.10.271
M. Murtadlo et al., “INCLUSIVE EDUCATION IN AFRICA: TRANSFORMING HIGHER EDUCATION IN LOW-INCOME COUNTRIES,” Sci. African, vol. 28, no. February, p. e02708, 2025, doi: https://doi.org/10.1016/j.sciaf.2025.e02708
L. Wu and J. Fang, “HOW HIGHER EDUCATION AFFECTS CORPORATE HUMAN CAPITAL INVESTMENT: BASED ON UPPER ECHELONS THEORY,” Financ. Res. Lett., vol. 69, p. 106019, 2024, doi: https://doi.org/10.1016/j.frl.2024.106019
P. L. Review and K. P. Tinggi, “PELANGGARAN HAK ATAS PENDIDIKAN DI INDONESIA: DISKURSUS MENGENAI STUDENT LOAN SEBAGAI SOLUSI KOMERSIALISASI PERGURUAN TINGGI SARAH YESSIE HANA MONICA * , Nadine Fakhira Putri Ravanti **,” vol. 12, pp. 196–211, 2024.doi : https://doi.org/10.56895/plr.v12i2.1833
B. P. Statistik, “ANGKA PARTISIPASI KASAR (APK) PERGURUAN TINGGI (PT) MENURUT PROVINSI, 2023.” Accessed: Jul. 05, 2025. [Online]. Available: https://www.bps.go.id/assets/statistics-table/2/MTQ0MyMy/angka-partisipasi-kasar--apk--perguruan-tinggi--pt--menurut-provinsi.html
B. P. Statistik, “ANGKA PARTISIPASI KASAR (APK) PERGURUAN TINGGI (PT) MENURUT PROVINSI, 2024.” Accessed: Jul. 05, 2025. [Online]. Available: https://www.bps.go.id/assets/statistics-table/2/MTQ0MyMy/angka-partisipasi-kasar--apk--perguruan-tinggi--pt--menurut-provinsi.html
T. Mulyaningsih, S. Dong, R. Miranti, A. Daly, and Y. Purwaningsih, “TARGETED SCHOLARSHIP FOR HIGHER EDUCATION AND ACADEMIC PERFORMANCE: EVIDENCE FROM INDONESIA,” Int. J. Educ. Dev., vol. 88, p. 102510, 2022, doi: https://doi.org/10.1016/j.ijedudev.2021.102510
B. A. Z. Nasional, “PETUNJUK TEKNIS BEASISWA SATU KELUARGA SATU SARJANA (SKSS).” Accessed: Jul. 01, 2025. [Online]. Available: https://bucket-api.baznas.go.id/bucket-api/file?bucket=bzn-fdr-smb-p5739641&file=attachments/pemberitahuan/1717338330015994579_990-JUKNIS-SKSS-2024.pdf
L. P. Sari, A. Hamid, H. Khaulasari, L. P. Sari, A. Hamid, and H. Khaulasari, “FORECASTING ZAKAT POTENTIAL IN BAZNAZ EAST JAVA USING THE ARIMAX METHOD WITH CALENDAR VARIATION EFFECTS FORECASTING ZAKAT POTENTIAL IN BAZNAZ EAST JAVA USING THE ARIMAX METHOD WITH CALENDAR VARIATION EFFECTS,” vol. 13, no. 2, pp. 181–187, 2025.doi : https://doi.org/10.37905/euler.v13i2.31456
D. L. Fay, “ANALISIS METODE PENETAPAN CALON MUSTAHIK PENERIMA BEASISWA SATU KELUARGA SATU SARJANA (SKSS) DALAM PELAKSANAAN PENDISTRIBUSIAN ZAKAT DI BAZNAS KABUPATEN KUANTANG SINGINGI,” Angew. Chemie Int. Ed. 6(11), 951–952., pp. 269–277, 2023.
G. A. Melnik-Leroy and G. Dzemyda, “HOW TO INFLUENCE THE RESULTS OF MCDM?—EVIDENCE OF THE IMPACT OF COGNITIVE BIASES,” Mathematics, vol. 9, no. 2, pp. 1–25, 2021, doi: https://doi.org/10.3390/math9020121
A. Hoveidafard, S. F. Moradinia, B. Golchin, and A. Ghaffari, “IDENTIFICATION OF REQUIRED STATIONS FOR AUTONOMOUS VEHICLES USING AHP AND TOPSIS METHOD WITH GIS APPROACH,” Sustain. Futur., vol. 10, no. June, p. 100755, 2025, doi: https://doi.org/10.1016/j.sftr.2025.100755
M. T. Aziz et al., “SITE SUITABILITY ASSESSMENT FOR SOLAR POWERED GREEN HYDROGEN PRODUCTION PLANTS: A GIS BASED AHP AND FUZZY APPROACH FOR BANGLADESH,” Renew. Energy, p. 123675, 2025.doi : https://doi.org/10.1016/j.renene.2025.123675
M. Risnasari and L. Cahyani, “REKOMENDASI PENERIMA BEASISWA MENGGUNAKAN METODE AHP DAN TOPSIS,” J. Infomedia, vol. 3, no. 1, pp. 1–6, 2018, doi: https://doi.org/10.30811/jim.v3i1.621.
G. Tepic, M. Djelosevic, N. Brkljac, and M. Vukovic, “PROBABILISTIC RANKING OF HAZMAT LOGISTICS SUBSYSTEMS UNDER UNCERTAINTY USING FUZZY AHP,” J. Loss Prev. Process Ind., p. 105563, 2025.doi : https://doi.org/10.1016/j.jlp.2025.105563
M. Shameem, M. Nadeem, M. Niazi, S. Mahmood, and A. Kumar, “TAXONOMY OF METRICS FOR EFFECTIVELY ESTIMATING QUANTUM SOFTWARE PROJECTS: A FUZZY-AHP BASED ANALYSIS,” Appl. Soft Comput., p. 112816, 2025.doi : https://doi.org/10.1016/j.asoc.2025.112816
D. H. Qendraj, E. Xhafaj, A. Xhafaj, and E. Halidini, “RANKING THE MOST IMPORTANT ATTRIBUTES OF USING GOOGLE CLASSROOM IN ONLINE TEACHING FOR ALBANIAN UNIVERSITIES: A FUZZY AHP METHOD WITH TRIANGULAR FUZY NUMBERS AND TRAPEZOIDAL FUZZY NUMBERS,” Adv. Sci. Technol. Eng. Syst., vol. 6, no. 1, pp. 297–308, 2021, doi: https://doi.org/10.25046/aj060134
W. Syamil, “KUESIONER PENILAIAN KEPENTINGAN ANTAR KRITERIA.” Accessed: Jul. 10, 2025. [Online]. Available: https://forms.gle/yJAit6ZQHLpPao6k8
BAZNAS, “FORMULIR BEASISWA SATU KELUARGA SATU SARJANA.” Accessed: Jul. 10, 2025. [Online]. Available: https://bucket-api.baznas.go.id/bucket-api/file?bucket=bzn-fdr-smb-p5739641&file=attachments/pemberitahuan/740-Formullir Pendaftaran Beasiswa SKSS.pdf
J. Miao and L. Niu, “A SURVEY ON FEATURE SELECTION,” Procedia Comput. Sci., vol. 91, no. Itqm, pp. 919–926, 2016, doi : https://doi.org/10.1016/j.procs.2016.07.111
A. Singh and A. Tiwari, “A STUDY OF FEATURE SELECTION AND DIMENSIONALITY REDUCTION METHODS FOR CLASSIFICATION-BASED PSINGH, A., & TIWARI, A. (2020). A STUDY OF FEATURE SELECTION AND DIMENSIONALITY REDUCTION METHODS FOR CLASSIFICATION-BASED PHISHING DETECTION SYSTEM. INTERNATIONAL,” Int. J. Inf. Retr. Res., vol. 11, no. 1, pp. 1–35, 2020, doi: https://doi.org/10.4018/IJIRR.2021010101.
F. Kamalov, H. Sulieman, A. Alzaatreh, M. Emarly, H. Chamlal, and M. Safaraliev, “MATHEMATICAL METHODS IN FEATURE SELECTION: A REVIEW,” Mathematics, vol. 13, no. 6, pp. 1–29, 2025, doi: 1https://doi.org/10.3390/math13060996.
M. I. Prasetiyowati, N. U. Maulidevi, and K. Surendro, “THE ACCURACY OF RANDOM FOREST PERFORMANCE CAN BE IMPROVED BY CONDUCTING A FEATURE SELECTION WITH A BALANCING STRATEGY,” PeerJ Comput. Sci., vol. 8, pp. 1–15, 2022, doi: https://doi.org/10.7717/peerj-cs.1041
N. T. Romadloni and Hilman F Pardede, “SELEKSI FITUR BERBASIS PEARSON CORRELATION UNTUK OPTIMASI OPINION MINING REVIEW PELANGGAN,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 3, no. 3, pp. 505–510, 2019, doi: https://doi.org/10.29207/resti.v3i3.1189.
M. Díaz-Vallejo et al., “ANALYSES OF THE VARIABLE SELECTION USING CORRELATION METHODS: AN APPROACH TO THE IMPORTANCE OF STATISTICAL INFERENCES IN THE MODELLING PROCESS,” Ecol. Modell., vol. 498, p. 110893, 2024, doi: https://doi.org/10.1016/j.ecolmodel.2024.110893
S. N. Kurnia Ramadhan Putra, Sofia Umroh, Nur Fitrianti, “RESULTANT: DATA PREPARATION TECHNIQUES TO IMPROVE XGBOOST ALGORITHM PERFORMANCE,” J. MIND J. | ISSN, vol. 8, no. 1, pp. 42–51, 2023, [Online]. Available: https://doi.org/10.69957/tanda.v3i01.945
T. Mehmood, “REGULARIZED FEATURE SELECTION IN CATEGORICAL PLS FOR MULTICOLLINEAR DATA,” Math. Probl. Eng., vol. 2021, 2021, doi: https://doi.org/10.1155/2021/5561752
S. G. Meshram, E. Alvandi, V. P. Singh, and C. Meshram, “COMPARISON OF AHP AND FUZZY AHP MODELS FOR PRIORITIZATION OF WATERSHEDS,” Soft Comput., vol. 23, no. 24, pp. 13615–13625, 2019, doi: https://doi.org/10.1007/s00500-019-03900-z
C. Boonmee and N. Tanpruttianunt, “A FUZZY MULTI-CRITERIA DECISION FRAMEWORK FOR COMMUNITY ISOLATION CENTER SITE SELECTION TO ENHANCE PUBLIC HEALTH RESILIENCE,” J. Saf. Sci. Resil., p. 100227, 2025, doi: https://doi.org/10.1016/j.jnlssr.2025.100227.
A. Paul and S. S. Mahapatra, “AN INTEGRATED FUZZY-AHP AND FUZZY-DEMATEL APPROACH FOR ANALYZING SUSTAINABLE SUPPLY CHAIN FACTORS IN THE MINING INDUSTRY,” Supply Chain Anal., vol. 10, no. February, p. 100113, 2025, doi: https://doi.org/10.1016/j.sca.2025.100113
C. Singha, S. Sahoo, A. B. Mahtaj, A. Moghimi, M. Welzel, and A. Govind, “ADVANCING FLOOD RISK ASSESSMENT: MULTITEMPORAL SAR-BASED FLOOD INVENTORY GENERATION USING TRANSFER LEARNING AND HYBRID FUZZY-AHP-MACHINE LEARNING FOR FLOOD SUSCEPTIBILITY MAPPING IN THE MAHANANDA RIVER BASIN,” J. Environ. Manage., vol. 380, no. February, p. 124972, 2025, doi: https://doi.org/10.1016/j.jenvman.2025.124972
M. Alipour-Bashary, M. Ravanshadnia, H. Abbasianjahromi, and E. Asnaashari, “A HYBRID FUZZY RISK ASSESSMENT FRAMEWORK FOR DETERMINING BUILDING DEMOLITION SAFETY INDEX,” KSCE J. Civ. Eng., vol. 25, no. 4, pp. 1144–1162, 2021, doi: https://doi.org/10.1007/s12205-021-0812-4
E. B. Agyekum and V. I. Velkin, “MULTI-CRITERIA DECISION-MAKING APPROACH IN ASSESSING THE KEY BARRIERS TO THE ADOPTION AND USE OF SWH IN WEST AFRICA–COMBINATION OF MODIFIED DELPHI AND FUZZY AHP,” Int. J. Thermofluids, vol. 23, no. August, p. 100795, 2024, doi: https://doi.org/10.1016/j.ijft.2024.100795.
A. V. Vitianingsih, C. Ullum, A. L. Maukar, V. Yasin, and S. F. A. Wati, “MAPPING RESIDENTIAL LAND SUITABILITY USING A WEB-GIS-BASED MULTI-CRITERIA SPATIAL ANALYSIS APPROACH: INTEGRATION OF AHP AND WPM METHODS,” J. RESTI, vol. 8, no. 2, pp. 208–215, 2024, doi: https://doi.org/10.29207/resti.v8i2.4520
S. Pant, A. Kumar, M. Ram, Y. Klochkov, and H. K. Sharma, “CONSISTENCY INDICES IN ANALYTIC HIERARCHY PROCESS: A REVIEW,” Mathematics, vol. 10, no. 8, pp. 1–15, 2022, doi: https://doi.org/10.3390/math10081206
Z. Xiaoxin, H. Jin, L. Ling, W. Yueping, and Z. Xinheng, “RESEARCH OF AHP/DEA EVALUATION MODEL FOR OPERATION PERFORMANCE OF MUNICIPAL WASTEWATER TREATMENT PLANTS,” E3S Web Conf., vol. 53, pp. 1–5, 2018, doi: https://doi.org/10.1051/e3sconf/20185304009
Frieyadie, “PENERAPAN METODE AHP SEBAGAI PENDUKUNG KEPUTUSAN PENETAPAN BEASISWA,” J. Pilar Nusa Mandiri Vol., vol. 13, no. 2, pp. 49–58, 2017, doi: https://doi.org/10.1016/j.jfo.2016.08.015.
Copyright (c) 2026 Syamil Waris Dien Muhammad, Abdulloh Hamid, Hani Khaulasari, Dian Candra Rini Novitasari, Moh Hafiyusholeh
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this Journal agree to the following terms:
- Author retain copyright and grant the journal right of first publication with the work simultaneously licensed under a creative commons attribution license that allow others to share the work within an acknowledgement of the work’s authorship and initial publication of this journal.
- Authors are able to enter into separate, additional contractual arrangement for the non-exclusive distribution of the journal’s published version of the work (e.g. acknowledgement of its initial publication in this journal).
- Authors are permitted and encouraged to post their work online (e.g. in institutional repositories or on their websites) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published works.
1.gif)
