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Journal : Applied Information System and Management

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 Ahmad Fahmi Karami Alfinadelasari Putri Fariadi Andini Cahyaningsih Anindya Hapsari Anisa Noor Cahyani Annajah, Nabiilah Annisa Annisa Annisaa Annisaa AnNisaa AnNisaa Apriliani, Putri Naya Ariyanti, Lilik Ashamadu, Cantika Salwa Aulia Pherenis, Haura Salwa Awaliahmunazila, Meisya Aziz, Hafif Ahmad Abdul Azza Rizqia Vatrisa Berlian Widya Aurellia Berliana, Dini Elita Dini Elita Berliana Dini Rahmasari Syurinda Ema Novita Deniati Fahmi Karami, Ahmad Fariadi, Alfinadelasari Putri Fina Adibatul Hasanah Harra Garnisa, Rachmalia Zahwa Hakiki, Nisa Assifa Hanifah, Afrina Hartati Eko Wardani Haura Salwa Aulia Pherenis Husniyah, Nisrina Nabilah Ikrimah, Ikrimah Kurniawati, Amalia Putri Lilik Ariyanti Lu'luim Mutakifah Malita, Cintya Nur Marier, Syauqi Muhammad Maulida, Adiska Rahma Meisya Awaliahmunazila Mohammad Hakimi Muhammad Irfan Saputra Muhammmad Al-Irsyad Mutakifah, Lu'luim Nadira, Silvia Devi Naya Apriliyani, Putri Nina Rini Suprobo Nisa Assifa Hakiki Orin, Yosefina Salestina Paramita, Farah Pramudya, Dandy Arie Purwanti Susantini Purwanti Susantini Putri Naya Apriliani Putri Novembriani, Rizqie Rachmawati, Windi Chusniah Rahma Maulida, Adiska Rahmawati, Windi Chusniah Rara Warih Gayatri Ratih, Suci Puspita Rini Suprobo, Nina Rizqie Putri Novembriani Salsa Bening Saputri, Baiq Fatria Ziza Selsa Tri Septiani Septa Katmawanti, Septa Septiani, Selsa Tri Siti Salma Hanifah Tuanani, Muhammad Fahresa Weva Rahmadana Widyastuti, Eva Uma Wuryanti, Syalwa Dida Yanri Subronto Yosefina Salestina Orin