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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Prosiding SNATIKA Vol 01 (2011) Seminar Nasional Informatika (SEMNASIF) Daya Saing : Jurnal Ilmu Manajemen Jurnal Manajemen JIKO (Jurnal Informatika dan Komputer) Jurnal Pengabdian Dharma Laksana Diklat Review : Jurnal manajemen pendidikan dan pelatihan JATI (Jurnal Mahasiswa Teknik Informatika) SYNERGY: Jurnal Bisnis dan Manajemen Jurnal Economica: Media Komunikasi ISEI Riau Jurnal Bisnis Kompetitif Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Journal of Development Education and Learning IJSS: International Journal of Social Indonesian Trust Nursing Journal
Sri Mulyana
Program Studi Ilmu Komputer UGM
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Other

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Journal : IJCCS (Indonesian Journal of Computing and Cybernetics Systems)

 1 
Sistem Pendukung Keputusan Kelompok Pemilihan Tempat PKL mahasiswa dengan Menggunakan Metode AHP dan Borda Dirja Nur Ilham; Sri Mulyana
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 11, No 1 (2017): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.16595

Abstract

The right Placement Job Training (PKL) selection for the students is a very important thing, because it can maximize the abilities and talents of each student so that can produce graduates who are ready to compete in the world of work. The most common problem of PKL selection is the lack of competence in terms of the needs of the company, as well as the needs of students will be on PKL place selection. To overcome these problems required a computer system in the form of group decision support systems (GDSS) who can help South Aceh Polytechnic for the selection of the right vendors for students.       In this study, Group decision support system developed by using AHP (Analytical Hierarchy Process) and Borda for group decision-making. AHP method is used to determine the weights of criteria and sub-criteria of each company where PKL alternative to alternative perangkingan company for each student from each of the decision makers. Borda method used for incorporation gradement results obtained by each decision maker so getting rank final and decisive recommendations PKL student places.            Based on the outcome of a group decision support system in the form of a rank of criteria values of students to alternative company where PKL placement selection. And alternative companies that get the highest yield serve as recommendations PKL student placement decisions for computer engineering department Polytechnics South Aceh.
The Determination of the Action towards the Patient’s Psychological Therapy in the Post-accident Using Case-based Reasoning Sri Mulyana; Ilham Sahputra
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 12, No 1 (2018): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.22886

Abstract

The accident that occurred to somebody will give much suffering; moreover, if the accident gives the serious injury, such as a broken bone which needs to get more seriously treatment. Not only does the patient need the action towards his/her injury, but also he/she needs the psychological therapy in facing the problems happened which is suggested by a psychologist. One of the reasoning method in expert systems is Case-Based Reasoning (CBR). In Case-Based Reasoning, a case-based consists of various cases in conditions or symptoms and solution (the psychological therapy) given. To find out the solution from a new problem given, the system will find any cases in the case-based which have higher the degree of similarity between the cases. This research develops a case-based reasoning system to decide the action of the psychological therapy towards the patients in the post-accident who needs seriously treatment. The psychological therapy involves in giving assistance, consultation, psychiatrist support, and the compound of various actions as well. A case study was conducted from the medical records of psychological treatment at ‘Dr Soeharso’ hospital in Surakarta. Based on the result of the research developed, the action of psychological therapy upon the patient has successfully determined. They have accuracy rates of 60% in the threshold 50% compared to the treatments resulted from the psychologist. The result was found by calculating the degree of similarity between the new issue and all cases existing in the case base.
Two-Step Iris Recognition Verification Using 2D Gabor Wavelet and Domain-Specific Binarized Statistical Image Features Mulyana, Sri; Wibowo, Moh. Edi; Kurniawan, Arie
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 2 (2025): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.104157

Abstract

The Iris is one of the most reliable biometric features due to its complex textural properties. However, using coloured contact lenses renders the iris unreliable in iris recognition systems. Colored contact lenses are one of the spoofing methods in biometrics that can conceal a person's identity. To prevent spoofing, a two-step verification process is needed in the iris recognition system. The first verification step is to detect colored contact lenses, while the second is to recognize or match a person's identity. The feature extraction methods used are Domain Specific Binarized Statistical Image Features (DSBSIF) and Gabor Wavelet. The method for detecting contact lenses is Support Vector Machine (SVM), and matching is performed using Hamming Distance (HD). This study conducted experiments using single features, feature fusion, and hybrid feature extraction methods combining DSBSIF and Gabor Wavelet for two-step iris recognition verification. The results indicate that the hybrid feature extraction method of DSBSIF and Gabor Wavelet achieved the highest accuracy of 99.95% for the first verification and 95.40% for the second verification. These results are 0.02 and 0.31 percentage points better, respectively than previous methods in the first and second verifications.
DESICION SUPPORT SYSTEM OF LAND SUITABILITY FOR CORN SEED VARIETIES Mulyana, Sri; Syahputra, Rizky Yurdan
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 3 (2025): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.105285

Abstract

Decision making in selecting suitable agricultural land is a key factor for the success of corn cultivation. The selection of agricultural land is still largely based on the experience of farmers, which lacks a strong analytical foundation, this can lead to a decrease in production as the evidenced in 2023, the dry corn kernel production decline by 12,5%  compared to the previous year. This research develops a Decision Support System (DSS) to analyze land suitability for corn varieties by using the Analytical Hierarchy Process (AHP) method to calculate the priority weights of each evaluation criterion, and the Profile Matching (PM) method to rank agricultural. The research uses data from 22 sub-districts in Blitar Regency as alternatives and 5 types of corn varieties as ideal profiles. The ranking results of this research indicate that the best agricultural land for varieties V1, V2, V3, and V4 is in Sanankulon Sub-district, while for variety V5, it is in Doko Sub-district. The validity test results showed a “Strong” coefficient, and the reliability test yielded a Cronbach's alpha of 0.8019, indicating a "Good" level of consistency.
Co-Authors Afiahayati Afiahayati Aina Musdholifah Anazra, Davania Arie Kurniawan Aritonang, Roi Martin Arnita Arnita Basriani, Agustin Desi Susanti DEWI SARTIKA Ilham Sahputra Ilham, Dirja Nur Insan Taufik Kiki Joesyiana Luh Made Yulyantari, Luh Made MANSUR AS Meisarah, Helfina Muthmainnah, Inna Mutia Ulfah Putri Octavia, Putri Retantyo Wardoyo Ria Astriratma Riandi, Resti Rostime Hermayerni Simanullang Said . Iskandar Samsudin, Samsudin Sofyan, Deviana Supia Wati, Mira Syahputra, Rizky Yurdan Tika Novita Sari Warjaya, Angga Wibowo, Moh. Edi Wulandari Wulandari