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Sanriomi Sintaro
Universitas Sam Ratulangi
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Comparative Analysis of the Combination of MOORA and GRA with PIPRECIA Weighting in the Selection of Warehouse Heads Arshad, Muhammad Waqas; Setiawansyah, Setiawansyah; Sintaro, Sanriomi
BEES: Bulletin of Electrical and Electronics Engineering Vol 4 No 3 (2024): March 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bees.v4i3.4922

Abstract

The Head of Warehouse has the main responsibility to manage and supervise the daily operations of the warehouse, including receiving, storing, and dispensing goods. In addition, the warehouse head is responsible for leading the warehouse staff team, providing the necessary direction, training, and supervision to ensure efficiency and safety in warehouse operations. This study aims to select warehouse heads by applying a combination of MOORA and PIPRECIA methods, as well as GRA and PIPRECIA. The combination of MOORA and PIPRECIA as well as GRA and PIPRECIA will be compared based on the final ranking of the two methods used. Based on the ranking results on the MOORA Method, the highest value with a value of 0.40017 was obtained by FHY with rank 1, a value of 0.36637 was obtained by AGL with rank 2, and a value of 0.35721 was obtained by YLS with rank 3 Based on the rating results on the GRA Method, the highest value with a value of 0.12164 was obtained by AGL with rank 1, a value of 0.12017 was obtained by FHY with rank 2, and a value of 0.1054 obtained by TAN with rank 3. Ranking differences between Multi-Method Objective Optimization by Ratio Analysis (MOORA) and Gray Relational Analysis (GRA) can arise due to differences in approaches in evaluating and comparing alternatives. The results of the conformity test can be concluded in the selection of warehouse heads who recommend the GRA method compared to the MOORA method, because the results of the conformity level of the GRA method get a value of 99.99919% higher than the MOORA method.
Perbandingan Kualitas 3D Berdasarkan Titik Fotogrametri Jarak Dekat Pada Tugu Perang Dunia II Manado Sintaro, Sanriomi; Takaendengan, Mahardika Inra; Ngangi, Stephano Caesar Wenston; Surahman, Ade
Jurnal Teknoinfo Vol 18, No 1 (2024): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i1.3408

Abstract

Tugu Perang Dunia II, yang dirancang oleh Ir. C.K. Uit den Bosch dan dibangun pada tahun 1946 sebagai penghormatan bagi para korban perang, telah lama menjadi peninggalan sejarah yang sangat berharga. Namun, sayangnya, bentuk asli dari tugu ini telah lenyap akibat proses renovasi dan perbaikan yang telah mengubahnya secara drastis. Kini, masyarakat sulit untuk membayangkan atau mengingat bagaimana tampilan asli dari bangunan ini, karena bukti berupa foto dan dokumen yang dapat mengungkapkannya sangat sulit untuk ditemukan. Dampak dari hilangnya identitas visual asli Tugu Perang Dunia II ini sangat signifikan, terutama dalam konteks pelestarian bangunan bersejarah di Kota Manado, yang juga kaya akan bangunan-bangunan berarsitektur kolonial yang unik. Untuk mengatasi tantangan ini, salah satu solusi yang dapat digunakan adalah pemanfaatan teknologi 3 dimensi (3D). Dengan bantuan teknologi ini, kita dapat mengembalikan bentuk asli dari tugu ini secara virtual, sehingga generasi masa kini dan masa depan dapat menghargai dan memahami sejarahnya dengan lebih baik. Penelitian ini berfokus pada perbandingan antara jumlah titik data yang dikumpulkan pada bagian bawah dan bagian atas tugu, yang memiliki tinggi mencapai 40 meter. Dengan batasan sebanyak 150 gambar, perbandingan ini menghasilkan temuan bahwa pengambilan gambar yang lebih banyak di bagian atas akan menghasilkan representasi objek 3D yang lebih akurat dan jelas jika dibandingkan dengan gambar yang lebih banyak di bagian bawah. Ini menjadi langkah penting dalam usaha melestarikan sejarah Tugu Perang Dunia II dan juga menjadi contoh bagaimana teknologi modern dapat digunakan untuk memelihara warisan bersejarah.. 
Combination of Grey Relational Analysis (GRA) and Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) in Determining the Best Staff Setiawansyah, Setiawansyah; Sintaro, Sanriomi; Saputra, Very Hendra; Aldino, Ahmad Ari
Bulletin of Informatics and Data Science Vol 2, No 2 (2023): November 2023
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v2i2.67

Abstract

Problems in selecting the best staff often involve complex challenges such as difficulty finding candidates with good performance. The problems faced in the selection of the best are only based on the assessment of discipline and productivity of performance carried out by the staff, so the assessment process does not use aspects of criteria that are considered important in selecting the best staff.  This study aims to determine the best staff based on predetermined criteria and in determining the selection of the best staff using the Gray Relational Analysis (GRA) decision model while in determining the weight of criteria using the Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) model so that the weight of the resulting criteria is not based on assumptions from decision makers. The results of the best staff assessment ranking using the Gray Relational Analysis method and the Simplified Pivot Pairwise Relative Criteria Importance Assessment weighting method obtained the results, namely for Rank 1 obtained by Denis Irawan with a final Gray Relational Analysis value of 0.243014. The results of data processing in the TRITAM Model test for the best staff selection application were adjusted to the conclusion of the overall results of the TRITAM Model criteria for technology acceptance, the results were good at 82.56%.
MCDM Using Multi-Attribute Utility Theory and PIPRECIA in Customer Loan Eligibility Recommendations Setiawansyah; Sintaro, Sanriomi; Aldino, Ahmad Ari
Journal of Informatics, Electrical and Electronics Engineering Vol. 3 No. 2 (2023): Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v3i2.1628

Abstract

Customer loan eligibility recommendations are an important step in the risk and financial assessment process. To ensure business continuity and customer satisfaction, it is important for financial institutions to consider several key factors. Problems in determining lending include various aspects that include credit risk that is difficult to assess appropriately, insufficient information about potential borrowers, potential fraud that can harm lenders. Regardless, financial institutions must ensure sound risk management and comply with applicable regulations and compliance standards to minimize potential losses and maintain fairness in decision-making related to lending. Cooperatives act as institutions that provide access to loans with more flexible terms than conventional financial institutions. The loan application process involves evaluating the customer's eligibility, which includes an analysis of financial condition, credit history, and repayment capacity. The contribution of this study provides a recommendation for savings and loan cooperatives in lending to customers using a decision support system model. The purpose of this study is to evaluate and compare customer loan feasibility using a combination of Multi-Criteria Decision Making (MCDM) methods, namely Multi-Attribute Utility Theory (MAUT) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA). This study aims to determine the ability of both methods to provide a comprehensive understanding of loan feasibility by considering a number of relevant criteria. The results of the customer loan eligibility rating recommend rank 1 with a final value of 0.5127 obtained by Customer K, rank 2 with a final value of 0.432 obtained by Customer I, and rank 3 with a final value of 0.3559 obtained by Customer F.
Multiple Criteria Decision Making Penentuan Juara Lomba Roasting Kopi Menggunakan Multi-Attributive Border Approximation Area Comparison Sintaro, Sanriomi
Jurnal Ilmiah Computer Science Vol. 2 No. 2 (2024): Volume 2 Number 2 January 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jics.v2i2.16

Abstract

Multiple Criteria Decision Making (MCDM) is an approach used to evaluate and select alternatives based on several criteria or factors. The purpose of this study is to apply the Multi-Attributive Border Approximation Area Comparison (MABAC) method in determining the winner of the coffee roasting competition using criteria namely fragrance, flavor, aftertaste, acidity, body, sweetness, balance, and cup to profile. With the help of the MABAC method, it will make it easier for the competition committee to determine the winner of the coffee roasting competition. The ranking results using the final results of the MABAC method for rank 1 were obtained with a final score of 8,525 on behalf of participant William, rank 2 was obtained with a final score of 5,525 on behalf of participant Firman, and rank 3 was obtained with a final value of 2,525 on behalf of participant Aditya.
Pemberian Pakan Ayam Otomatis dengan esp32 dan penimbangan digital Otomatis Sintaro, Sanriomi
Jurnal Teknologi dan Sistem Tertanam Vol 5, No 1 (2024): Vol 5 No 01, Februari 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtst.v5i1.4032

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem pemberian pakan ayam otomatis menggunakan modul ESP32 dan penimbangan pakan otomatis. Sistem ini dirancang untuk meningkatkan efisiensi dan presisi dalam memberikan pakan kepada ayam. Modul ESP32 digunakan sebagai otak utama sistem, memfasilitasi komunikasi nirkabel untuk mengatur waktu dan jumlah pakan yang diberikan kepada ayam. Penimbangan pakan otomatis yang terintegrasi membantu mengukur dan mengontrol jumlah pakan yang disalurkan, sehingga mengoptimalkan asupan nutrisi ayam
Penerapan Metode Preference Selection Index Terhadap Pemilihan Sales Terbaik Sintaro, Sanriomi
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 2 (2024): Volume 2 Number 2 June 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i2.121

Abstract

Salesperson is an important part in a company that is responsible for selling products or services to potential customers. A salesperson's job is not only limited to selling, but also includes building strong relationships with customers, understanding their needs, and providing appropriate solutions. The best salespeople are those who have a combination of strong interpersonal skills, a deep understanding of the product or service they sell, and a dedication to providing the best service to customers. One of the main problems in choosing the best salesperson is finding a balance between technical skills and interpersonal skills. While having a solid knowledge of the products or services they sell is crucial, the ability to communicate effectively and build good relationships with customers is also crucial. The Preference Selection Index (PSI) method is an approach that allows evaluation and ranking of alternatives based on preferences relative to established criteria. The PSI method of selecting the best sales can be used to evaluate sales performance based on a number of predetermined criteria. By applying the PSI method, this study seeks to provide a more systematic and structured approach in assessing and selecting the best sales, which is expected to produce more accurate and objective recommendations. The ranking results show, for the first rank with a final PSI value of 0.912 obtained by Sales GS, the second rank with a final PSI value of 0.901 obtained by Sales HR, the third rank with a final PSI value of 0.888 obtained by Sales YP.
Optimization of Alternative Assessment with Modified MOORA Method: Case Study of Contract Employee Selection Waqas Arshad, Muhammad; Sintaro, Sanriomi; Rahmanto, Yuri; Wantoro, Agus; Setiawansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1891

Abstract

Multi-Objective Optimization by Ratio Analysis (MOORA) is a multi-criteria decision-making method used to evaluate and select the best alternative based on multiple objectives or criteria. One of the main disadvantages of the MOORA method is subjectivity in the determination of the weight of criteria. In this method, the decision maker must determine the relative weight of each criterion used to evaluate alternatives. Subjectivity in the weighting of criteria can also lead to inconsistencies between different decision makers or experts, resulting decisions can be less transparent and less acceptable to all parties involved, reducing confidence in the validity and accuracy of the results. Optimization of alternative assessment with modified MOORA method is to develop alternative assessment methods that are more accurate and objective by integrating standard deviation into the MOORA method. This study aims to overcome the weaknesses of conventional MOORA methods in dealing with data variation and assessment subjectivity by introducing a more data-driven mechanism of calculating the weight of criteria. Through testing and comparing performance between modified MOORA methods and conventional methods, this study aims to demonstrate improved accuracy, consistency, and reliability in alternative assessment results. In addition, this research is expected to provide practical implementation guidance for the application of the modified MOORA method in the Decision Support System (DSS), so as to improve the efficiency and quality of decision making in various sectors. The ranking results showed that the results of rank 1 were obtained by Employee 6 with a final score of 0.3375, rank 2 was obtained by Employee 3 with a final score of 0.2904, and rank 3 was obtained by Employee 7 with a final score of 0.2756. The results of the comparison test of the original rank with SD-MOORA showed a correlation value of 1, so it can be concluded that there is a very strong and positive relationship between the original rating and the SD-MOORA rating. This shows that the rating produced by SD-MOORA is very consistent with the original ranking, thus giving validity to the effectiveness of SD-MOORA in replicating the original rating results more objectively and efficiently. The results of the SD-MOORA modification showed significant improvements in the accuracy and objectivity of decision making.
Evaluation of Usability Based on User Satisfaction with the UI/UX Design of the E-Repository Prototype Vederico Pitsalitz Sabandar; Sanriomi Sintaro
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4292

Abstract

The user interface (UI) design of software in the early stages of development is crucial to ensure the future success of the product and is key to creating an effective user experience (UX). This study aims to produce a UI design for software, namely an e-repository, and conduct a usability evaluation based on user satisfaction with the UX of the design. The resulting e-repository design is a prototype, where the research process implemented the design thinking method consisting of five main phases: empathize, define, ideate, prototype, and test. The evaluation is conducted in the test phase, where the evaluation uses the usability testing method by assigning a number of task scenarios, totaling 8 tasks, to respondents. Furthermore, to measure user satisfaction levels, a questionnaire based on the System Usability Scale (SUS) is used, consisting of 10 statements with both positive and negative orientations. The research results indicate that the UI design has addressed the issues and met the needs of users. Meanwhile, the analysis results from the usability evaluation show that the Adjective Ratings are categorized as Good. Additionally, in terms of Acceptability Ranges, the prototype is deemed Acceptable by users, with a Grade Scale obtained being B, where the evaluation results indicate that the scores obtained are above the average SUS score standard.
Sistem Persebaran Homestay Berbasis Web Untuk Pengembangan Ekowisata Destinasi Super Prioritas, Likupang Minahasa Utara Lapu Kalua, Aditya; Massie Hihola, Maharani Margareth; Turnip, Rama Ijon; Agung Taroreh, Gabriell Cristiano; Henry Tampi, Christian Ronaldo; Daniel Wolayan, Delon; Soleman, Kurniawan; Sintaro, Sanriomi
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 2 (2024): Volume 5, Nomor 2, September 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i2.4626

Abstract

Likupang, Kabupaten Minahasa Utara, Sulawesi Utara, telah menjadi salah satu destinasi super prioritas yang ditetapkan oleh Presiden Joko Widodo. Desa Marinsow, sebagai bagian dari Kawasan Ekonomi Khusus (KEK) Likupang, menawarkan keindahan alam dan kekayaan tanaman herbal yang dimanfaatkan oleh penduduk setempat. Masalah yang ditemui dalam pengabdian ini adalah tantangan seperti aksesibilitas dan pengelolaan akomodasi perlu diatasi secepat mungkin karena KEK Likupang memiliki potensi pariwisata yang besar. Untuk menyelesaikan masalah tersebut Tim Pelaksana PKM mengembangkan sistem persebaran homestay berbasis web untuk meningkatkan aksesibilitas, kesadaran lingkungan, dan pemanfaatan produk herbal lokal yang kemudian diberi nama "EcoStayLikupang”. Sistem ini dirancang untuk meningkatkan aksesibilitas, kesadaran lingkungan, dan pemanfaatan produk herbal lokal, sekaligus mendukung pengembangan ekowisata (Green & Blue Tourism) di daerah tersebut.
Co-Authors Ade Dwi Putra Ade Surahman Ade Surahman Ade Surahman Ade Yusupa Adhie Thyo Priandika Aditya Lapu Kalua Agung Taroreh, Gabriell Cristiano Agus Wantoro Ahmad Ari Aldino Ahmad Ari Aldino Albani Boutje Johanes Alfonsius, Eric Amelya Ramadhanty Van Gobel Arinda Rifaini Arshad, Muhammad Waqas Arundaa, Rillya Bernard Bernard, Bernard Budiono, Andiswar Muhamad Catra Adi Pranata Christian Alderi Jeffta Soewoeh Daniel Wolayan, Delon Dedi Darwis Dingse Pandiangan Djoni Hatidja Dodisutarma Lapihu Donaya Pasha Dr. Nelson Nainggolan, M.Si Eko Dedi Listiono Eliasta Ketaren Fenty ariany Henry Tampi, Christian Ronaldo Hutasoit, Las D. Idrajat Pangestu Irfan Fauzan Iriansu, Irfah Syagitsyah Islam, Noorul Isnain, Auliya Rahman Izudin Ismail Kadek Tame Jaya Kaplale, Jaidun Ramadhan Khafidlin Triatama Kurnia Noviyanti A. Mantu Lapu Kalua, Aditya Lili Andraini Lulud Oktaviani Lusiana Indawa Luther Latumakulita M. Ghufroni An’ars Mahardika Inra Takaendengan Mapalie, Natassya Klarissa Ribka Massie Hihola, Maharani Margareth Melvitasari Tinambunan Mesran, Mesran Muhammad Rahadiyan Bagaskara Muhammad Waqas Arshad Nelson Nainggolan Ngangi, Stephano Caesar Wenston ningtyas, Kurnia rimadhanti Nofri Khairandi Pamungkas, Nurhuda Budi Pasaribu, A. Ferico Octaviansyah Rillya Arundaa Ryan Randy Suryono Salaky, Deiby Tineke Setiawansyah Setiawansyah Setiawansyah Setiawansyah Sharon Tabita Sulung Shotya Goma Siska Ayu Widiana Soleman, Kurniawan Stephanie Marceline Raintung Stephano Caesar Wenston Ngangi SUAIDAH SUAIDAH, SUAIDAH Sumanto, Sumanto Surahman, Ade Takaendengan, Mahardika Inra Tenda, Edwin Tien Yulianti Turnip, Rama Ijon Tutu, Erlica M.I. Vederico Pitsalitz Sabandar Verina Putri Gloria Nainggolan Very Hendra Saputra Very Hendra Saputra Wahyudi, Agung Deni Waqas Arshad, Muhammad Wisard Widsli Kalengkongan Yessi Yunitasari YOHANA TRI UTAMI, YOHANA TRI Yohanes Bery Mokalu Yuni Tri Lestari, Yuni Tri Yuri Rahmanto