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Journal : Buletin Ilmiah Informatika Teknologi

Sistem Pendukung Keputusan Penerimaan Analis Di Pusat Penelitian Kelapa Sawit Menggunakan Metode Complex Proportional Assessment (Copras) Nurliadi; Abdul Karim
Buletin Ilmiah Informatika Teknologi Vol. 2 No. 1: September 2023
Publisher : AMIK STIEKOM SUMATERA UTARA

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

Abstract

Acceptance of analysts at the Palm Oil Research Center is an important process that requires the right decision. In this context, Decision Support Systems (DSS) can be used to assist decision making using the Complex Proportional Assessment (COPRAS) method. The COPRAS method is an effective method for making multi-criteria decisions. In this research, we apply the COPRAS method in SPK for analyst recruitment at the Palm Oil Research Center. The steps taken include identifying criteria, determining criteria weights, evaluating alternatives, normalization and aggregation, as well as ranking and selecting candidate analysts. The criteria considered in this research include educational qualifications, work experience, skills and competencies, communication skills, as well as motivation and personality. Each criterion is given a weight to reflect its relative importance. Prospective analysts are evaluated based on predetermined criteria, giving a score or grade that reflects their level of suitability to those criteria. Criterion scores are normalized and aggregated to obtain a total score for each candidate analyst. Based on the total score, analyst candidates are ranked, and the Palm Oil Research Center can select the analyst candidate with the highest ranking for acceptance. The application of the COPRAS method in the SPK for accepting analysts at the Palm Oil Research Center is expected to increase the efficiency and accuracy of decision making. This method allows combining subjective preferences and objective information, resulting in more structured and accountable decisions.
Uncovering Smartphone Brand Strategies through Specification-Based Clustering and Classification Karim, Abdul; Ernawati, Andi
Buletin Ilmiah Informatika Teknologi Vol. 4 No. 1: September 2025
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/biit.v4i1.167

Abstract

In an increasingly saturated smartphone market, brand differentiation through technical specifications has become a core strategy for attracting diverse consumer segments. This study proposes a machine learning approach to uncover underlying brand strategies by leveraging smartphone specifications and market pricing across multiple regions. We utilize unsupervised clustering algorithms (K-Means, DBSCAN) to segment devices based on technical features, followed by supervised classification models (Random Forest, XGBoost) to identify and interpret brand-driven design strategies. The dataset comprises smartphones released in 2024–2025, including attributes such as RAM, camera specifications, processor type, battery capacity, and launch prices in Pakistan, India, China, USA, and Dubai. Our findings reveal distinct clusters that align with different pricing tiers and show clear brand positioning patterns. Feature importance analysis using SHAP highlights battery capacity, screen size, and processor type as critical variables influencing brand classification. This study provides valuable insights for both manufacturers and consumers in understanding competitive product strategies within the global smartphone market.
Co-Authors Agus Perdana Windarto Agustina Sidabutar Agustina, Asri Widya Ahyuna Ahyuna, Ahyuna Aldiansyah, Ferry Alfarisi Pasaribu, Ahmad Ambiyar, Ambiyar Andi Ernawati Andi Ernawati Andriani, Titi Aritonang, Putri Armasari, Selly Arridha Zikra Syah Asyahri Hadi Nasyuha Awfa, Qifari Bangun, Budianto Bernadus Gunawan Sudarsono Bobbi Kurniawan Nasution, Muhammad Cheylani Lukito, Salwa Christiorenfa Br Haloho, Agatha Daulay, Nelly Khairani Dayu Sari, Arini Dhea Ananda, Tasya Efendi Hutagalung, Jhonson Efendi, Safri Erlin Windia Ambarsari Fadli, Muhammad Bagus Fadlina Fahmi Rizal Febriani, Budi Fifto Nugroho Garuda Ginting Harahap, Armyka Pratama Hasibuan, Awaludin Heni Pujiastuti Hersatoto Listiyono Hidayatullah, Muhammad I Wayan Sugianta Nirawana Imam Saputra Indah Sari, Leni Indrayani, Puput Iwan Purnama Iwan Purnama Jahril Jeperson Hutahaean Kraugusteeliana Kraugusteeliana Kusmanto Kusmanto Kusmanto Kusmanto M. Rafi Mardinata, Erwin Marha As, Pawa Niassa Meryance Viorentina Siagian Mesran, Mesran Mhd Ali Hanafiah Mhd Bobbi Kurniawan Nasution Muhammad Bobbi Kurniawan Nasution Muhammad Hamka Muhammad Syahrizal Nababan, Dosmaida Nasution, Mhd Bobbi Kurniawan Nasution, Muhammad Bobbi Kurniawan Natalia Silalahi Nona Oktari Nurlela Nurlela Nurliadi Pane, Rahmadani Pane, Siddik Pohan, Tatang Hidayat Poningsih Pratama, Armyka Purba, Elvitrianim Purba, Elvitrianim Putra Juledi, Angga Putri, Nathania Rahman, Ben Rizal, Chairul Rohani Rohani Saidi Ramadan Siregar Saludin Muis Sartika Br Siregar, Amanda Sempurna, Teguh Shinta Esabella Siagian, Yessica Siddik Siregar, Anwar Sinulingga, Raja Ingata Siregar, Feby Khairunnisya Siti Sahara Nasution Soeb Aripin Suha Alvita Suhada, Karya Sundari Retno Andani Supiyandi Supiyandi Suryadi, Sudi Sutrino Dwi Raharjo Syahputra Harahap, Hasmi Triana, Dewi Trianovie, Sri Trianovie, Sri Unung Verawardina Uswatun Hasanah Vita S. Siregar, Siony Wilson, Eric Yessica Siagian Yulizar, Isma Ahmad Zebua, Yuniman Zulkifli Zulkifli Zuly Budiarso