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Group Decision Support System (GDSS) Model on Software Engineer Selection: Integration of AHP,SAW, TOPSIS, and BORDA Sari, Tika Novita; Astriratma, Ria; Mulyana, Sri
JURNAL INFORMATIKA DAN KOMPUTER Vol 9, No 1 (2025): Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v9i1.1495

Abstract

One of the requirements for any company's success is the efficient utilization of human resources in its operations. There are several different tasks that fall within the Human Resources Management (HRM) role. This study uses the GDSS technique, combining TOPSIS for the second decision maker and AHP-SAW for the first decision maker. There are two decision makers (DMs), as is the case. After that, each decision maker's ranking will be processed using the BORDA technique. This study concludes that there are differences in the outcomes from DM1 and DM2. This is a result of the propensity for every decision-maker to offer a unique assessment. While DM2 employs the scoring technique using percentages to determine sub-parameter weighting and the TOPSIS method for ranking, DM1 uses the AHP method for sub-parameter weighting and SAW for ranking. However, the researchers integrated the two decision makers with a group decision support system utilizing the BORDA approach, accounting for the decision makers' respective levels of interest. The findings highlight the significant contribution of this research in demonstrating how the integration of these methods effectively addresses differences in evaluation approaches among decision-makers, particularly in the context of software engineering, ensuring a transparent and data-driven selection process. The GDSS model was tested on a case study of software engineer selection, demonstrating a high level of accuracy in identifying the most suitable candidates for organizational needs. Furthermore, the results of the GDSS aligned with the decisions made by the case study company, validating the effectiveness of the proposed model. The practical application of this model can be adopted by companies to enhance the efficiency and quality of recruitment processes.
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.
KOMBINASI LATENT SEMANTIC INDEXING DAN SUPPORT VECTOR MACHINE PADA KLASIFIKASI DOKUMEN AKREDITASI: STUDI KASUS : PASCASARJANA UNIVERSITAS NEGERI MEDAN Warjaya, Angga; As, Mansur; Muthmainnah, Inna; Mulyana, Sri; Iskandar Al Idrus, Said; Arnita, Arnita; Taufik, Insan
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.14102

Abstract

Pengelolaan dokumen akreditasi yang efisien menjadi tantangan utama dalam pendidikan tinggi akibat volume dokumen yang besar dan format yang bervariasi. Penelitian ini bertujuan untuk mengembangkan metode klasifikasi otomatis menggunakan kombinasi latent semantic indexing dan support vector machine guna meningkatkan akurasi dan efisiensi pengelolaan dokumen akreditasi. Akurasi dalam penelitian ini mengacu pada ketepatan sistem dalam mengidentifikasi kategori dokumen sesuai kriteria akreditasi, sementara efisiensi mencerminkan percepatan dan penyederhanaan proses klasifikasi dibandingkan dengan metode manual. Dataset terdiri dari 230 dokumen yang dikategorikan berdasarkan kriteria Lembaga Akreditasi Mandiri Kependidikan, dengan 115 dokumen untuk Kriteria 6 (Pendidikan) dan 115 dokumen untuk Kriteria 7 (Penelitian), kemudian dibagi menjadi data latih dan uji dengan rasio 60:40. Proses klasifikasi dilakukan melalui beberapa tahap, termasuk pre-processing teks, ekstraksi fitur semantik, serta optimasi parameter model untuk memperoleh hasil terbaik. Pengujian menunjukkan bahwa metode yang diusulkan mampu mencapai tingkat akurasi sebesar 91%, dengan validasi silang sebesar 94,21%. Hasil ini menunjukkan bahwa pendekatan yang digunakan efektif dalam mengotomatisasi klasifikasi dokumen akreditasi, sehingga dapat mempercepat proses evaluasi serta meningkatkan efisiensi manajemen dokumen dalam institusi pendidikan tinggi.
ANALISA PENGARUH PERSEPSI HARGA DAN PROMOSI TERHADAP KEPUTUSAN PEMBELIAN PADA E- COMMERCE SHOPEE DI PEKANBARU Sartika, Dewi; Mulyana, Sri; Sofyan, Deviana
Jurnal Ekonomi Bisnis Kompetif Vol 4 No 1 (2025): Inovasi, Pemasaran, dan Keuangan dalam Bisnis dan Kewirausahaan Kontemporer
Publisher : Komunitas Manajemen Kompetitif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35446/bisniskompetif.v4i1.2267

Abstract

This study aims to analyze the influence of price perception and promotion on purchasing decision on the shopee E-commerce platform in Pekanbaru. The proliferation of e-commerce platforms has profoundly reshaped consumer purchasing behavior, offering unprecedented convenience, product diversity, reliability assurances, competitive pricing, and compelling promotional incentives. Consequently, consumers are increasingly inclined towards online shopping experiences. However, within this dynamic digital marketplace, intense price competition and a multitude of sophisticated promotional strategies emerge as pivotal determinants significantly influencing consumer purchasing decisions. This research employed a quantitative approach, with data gathered via questionnaires administered to respondents who made purchases on the Shopee e-commerce platform in Pekanbaru. The collected data were analyzed using multiple linear regression to examine the influence of price perception, promotion, and purchasing decisions. The research findings indicate that price perception significantly influences purchasing decisions on Shopee e-commerce in Pekanbaru. This finding stands in stark contrast to promotions, which showed no significant influence on purchasing decisions. This indicates that consumers' perception of a product's price (whether it is considered expensive, affordable, or commensurate with its quality) is a primary determinant in their purchasing decisions
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.
Peningkatan Motivasi Dan Hasil Belajar Ipa Pada Materi Sumber Energi Dan Perpindahan Panas Melalui Model Problem Based Learning Di Kelas V MIN 2 Agam Mulyana, Sri; Supia Wati, Mira
Journal of Development Education and Learning (JODEL) Vol. 3 No. 2 (2025): May 2025
Publisher : LPPI Yayasan Almahmudi bin Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This classroom action research was motivated by the low motivation and learning outcomes of fifth-grade students at MIN 2 Agam in the Natural Science subject, particularly on the topic of energy sources and heat transfer. The study aims to improve motivation and learning outcomes through the application of Problem-Based Learning (PBL). The subjects were 23 students. The research was carried out in two cycles. Instruments: learning outcomes test, motivation questionnaire, observation sheet, rubric, and documentation. The results showed an increase in mastery from 30.43% (pretest) to 91.30% (posttest II). High category motivation increased from 26.09% to 82.61%. PBL was effective in improving conceptual understanding and science process skills.
Peningkatan Hasil Belajar IPA Siswa Kelas V MIN 2 Agam melalui Model Pembelajaran Inkuiri Terpimpin Supia Wati, Mira; Mulyana, Sri
Journal of Development Education and Learning (JODEL) Vol. 3 No. 2 (2025): May 2025
Publisher : LPPI Yayasan Almahmudi bin Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This Classroom Action Research investigates the effectiveness of the guided inquiry model in improving science learning outcomes among fifth-grade students in an Indonesian elementary school. The study was conducted with 28 students at MIN 2 Agam District, during the second semester of the 2024/2025 academic year. The intervention was carried out in two cycles, each consisting of three lessons, following the stages of planning, implementation, observation, and reflection. Data were collected through cognitive tests (20 multiple-choice items: pretest, posttest Cycle I, posttest Cycle II), science process skills observation sheets (4-point rubric), teacher journals, and student response questionnaires (4-point Likert scale). Descriptive quantitative analysis was used to examine changes in mean scores and achievement percentages, while qualitative analysis explored patterns emerging from journals and questionnaires. Findings revealed that the guided inquiry model consistently improved students’ mean scores from 54.6 (pretest) to 70.3 (posttest Cycle I) and 86.1 (posttest Cycle II), with the proportion of students achieving the target increasing from 28.6% to 89.3%. Science process skills and learning motivation also demonstrated notable development. The study concludes that guided inquiry, supported by structured worksheets, teacher scaffolding, and heterogeneous group organization, effectively enhances students’ conceptual understanding, scientific process skills, and motivation in science learning at the elementary level. For publication purposes, the inclusion of raw data, inferential statistical tests, and instrument reliability reporting is recommended to strengthen the evidence.
The Effect Of Price Perception And Product Completeness On The Decision To Purchase Heavy Equipment Spare Parts At CV. Chatra Power Part In Pekanbaru Octavia, Putri; Mulyana, Sri; Susanti, Desi
International Journal of Social Sciences Vol. 1 No. 1 (2025): IJSS: International Journal of Social Sciences
Publisher : STEBIS Bina Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51805/ijss.v1i1.335

Abstract

This study aims to determine the Influence of Price Perception and Product Completeness on Purchase Decisions for Heavy Equipment Spare Parts at CV Chatra Power in Pekanbaru. This study is a quantitative study with variables of price perception and product completeness on purchasing decisions. This study uses a data collection technique by distributing questionnaires. The number of samples in this study was 55 respondents taken using the slovin technique. The data analysis technique used is descriptive statistical analysis and inferential statistical techniques using the validity test formula, reliability, classical assumption test, multiple linear regression, t-test, F-test, and coefficient of determination. The results of the study indicate that price perception has a significant effect on purchasing decisions and product completeness has a significant effect on purchasing decisions. While price perception and product completeness have a significant effect on purchasing decisions. Then it is also known that the contribution of the presentation of the influence given by price perception and product completeness is 54.8% and the remaining 45.2% comes from other variables not included in this study. And it can be concluded that price perception and product completeness have an effect on purchasing decisions for heavy equipment spare parts at CV Chatra Power Part in Pekanbaru
PENGARUH KEPERCAYAAN DAN KEMUDAHAN TERHADAP KEPUASAN KONSUMEN SHOPEE PAY LATER DI PEKANBARU Sartika, Dewi; Mulyana, Sri
Jurnal Manajemen Vol. 14 No. 1 (2024): JURNAL MANAJEMEN VOL. 14 NO. 1 JUNI 2024
Publisher : Fakultas Ekonomi Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/jm.v14i1.4018

Abstract

Technological developments is currently making the financial business and loan business from cash (cash) to Cashless, from Credit to Online credit (Shopee Paylater). In Indonesia, Shopee Paylater is an example of a company that currently dominates the fintech market in the paylater sector in Indonesia. This study aims to determine whether there is a significant influence on the variables of ease and trust on the variable of customer satisfaction at Shopee Paylater in Pekanbaru. The population in this study were customer who had used the Shopee Paylater feature with a sample size of 57 respondents. The analysis used in this research is multiple linear regression method. The results showed that the Trust variable had an effect on customer satisfaction at Shopee Paylater. The ease variable has no effect on customer satisfaction at Shopee Paylater. Trust and ease variables. Influence on customer satisfaction at Shopee Paylater in Pekanbaru.
KETERBENTUKAN KEPUTUSAN PEMBELIAN MELALUI PERSEPSI RESIKO, REPUTASI DAN KEAMANAN PADA TIKTOK DI PEKANBARU Mulyana, Sri; Sartika, Dewi
Jurnal Daya Saing Vol. 9 No. 2 (2023): Transformasi Kinerja SDM, Perilaku Konsumen, dan Strategi UMKM di Era Digital
Publisher : Komunitas Manajemen Kompetitif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35446/dayasaing.v9i2.1346

Abstract

Penelitian ini dilakukan untuk menganalisis faktor-faktor yang mempengaruhi konsumen di kota Pekanbaru dalam melakukan keputusan pembelian pada Tiktok. Variabel independen terdiri dari persepsi risiko (X1), Reputasi (X2), dan keamanan (X3). Variabel dependen adalah keputusan pembelian (Y). Dalam penelitian ini sampel berjumlah 108 responden yang diambil dengan menggunakan teknik accidental sampling dan dianalisis dengan regresi linier berganda dengan menggunakan software SPSS 21. Hasil pengujian membuktikan bahwa (1) persepsi risiko berpengaruh signifikan terhadap keputusan pembelian Tiktok di Pekanbaru; (2) Reputasi berpengaruh signifikan terhadap keputusan pembelian Tiktok di Pekanbaru, (3) Keamanan berpengaruh signifikan terhadap keputusan pembelian Tiktok di PekanbaruPenelitian ini dilakukan untuk menganalisis faktor-faktor yang mempengaruhi konsumen di kota Pekanbaru dalam melakukan keputusan pembelian pada Tiktok. Variabel independen terdiri dari persepsi risiko (X1), Reputasi (X2), dan keamanan (X3). Variabel dependen adalah keputusan pembelian (Y). Dalam penelitian ini sampel berjumlah 108 responden yang diambil dengan menggunakan teknik accidental sampling dan dianalisis dengan regresi linier berganda dengan menggunakan software SPSS 21. Hasil pengujian membuktikan bahwa (1) persepsi risiko berpengaruh signifikan terhadap keputusan pembelian Tiktok di Pekanbaru; (2) Reputasi berpengaruh signifikan terhadap keputusan pembelian Tiktok di Pekanbaru, (3) Keamanan berpengaruh signifikan terhadap keputusan pembelian Tiktok di Pekanbaru