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All Journal Jurnal Gizi Applied Information System and Management Prosiding Seminar Nasional Unimus
Purwanti Susantini
Program Studi Magister Ilmu Gizi Program Pascasarjana Universitas Diponegoro, Jl. Imam Bardjo 1 Semarang
Humanities Engineering Health Professions Languange, Linguistic, Communication & Media Nursing Public Health

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Journal : Applied Information System and Management

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Development of a User-Personalized Decision Support System for Contraception Method Selection Karami, Ahmad Fahmi; Ekawati, Rany; Marier, Syauqi Muhammad; Susantini, Purwanti
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.44648

Abstract

The number of unmet needs for contraception has not reached the target set by the Indonesian government, while the uneven distribution of health workers, the main source of information for contraception, is still an unresolved problem. The Internet serves as an alternative source of information for contraception selection. However, without personalization, it may lead to inappropriate choices. This study discussed the development of an information system for selecting contraceptives, incorporating a decision support system (DSS), enabling personalized recommendations based on user preferences to assist in determining the appropriate contraceptive method. The functionality of the information system was evaluated using black-box testing, conducted by reproductive health experts, while its usability was assessed based on ISO-9241-11:2018 standards with 25 respondents. The functional evaluation of the system showed that 14 functions successfully passed the testing procedures, while 2 functions failed. The usability evaluation yielded excellent results, with an overall score of 4.52. Based on these findings, the developed information system can serve as a medium for reducing the number of unmet needs for contraception by providing users with contraceptive information tailored to their preferences. Further research needs to enhance system information by integrating user medical reports and user location and evaluating the recommendation-to-selection conversion rate— the extent to which users follow the system’s recommendations when choosing contraceptives.
Development of a User-Personalized Decision Support System for Contraception Method Selection Karami, Ahmad Fahmi; Ekawati, Rany; Marier, Syauqi Muhammad; Susantini, Purwanti
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.44648

Abstract

The number of unmet needs for contraception has not reached the target set by the Indonesian government, while the uneven distribution of health workers, the main source of information for contraception, is still an unresolved problem. The Internet serves as an alternative source of information for contraception selection. However, without personalization, it may lead to inappropriate choices. This study discussed the development of an information system for selecting contraceptives, incorporating a decision support system (DSS), enabling personalized recommendations based on user preferences to assist in determining the appropriate contraceptive method. The functionality of the information system was evaluated using black-box testing, conducted by reproductive health experts, while its usability was assessed based on ISO-9241-11:2018 standards with 25 respondents. The functional evaluation of the system showed that 14 functions successfully passed the testing procedures, while 2 functions failed. The usability evaluation yielded excellent results, with an overall score of 4.52. Based on these findings, the developed information system can serve as a medium for reducing the number of unmet needs for contraception by providing users with contraceptive information tailored to their preferences. Further research needs to enhance system information by integrating user medical reports and user location and evaluating the recommendation-to-selection conversion rate— the extent to which users follow the system’s recommendations when choosing contraceptives. 
Co-Authors Agus Sartono Ahmad Fahmi Karami Ayuningtyas, Annisa Ayunintyas, Rr. Annisa Hapsari, Imelda Mely Kartika Nugraheni Marier, Syauqi Muhammad Nurhaliza, Shalma Oktaviasih, Astri Ayu Prihatiningrum, Felin Aulia Rany Ekawati Safitri, Anugrahaning Dyah Salsa Bening Sulistiani 3, Ria Purnawian