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All Journal Jurnal MIPA Jurnal Buana Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknoinfo Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) IJPD (International Journal Of Public Devotion) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service KLIK: Kajian Ilmiah Informatika dan Komputer JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) BEES: Bulletin of Electrical and Electronics Engineering Jurnal Sisfotek Global Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Journal of Computing and Informatics Research Journal of Engineering, Computer Science and Information Technology (JECSIT) Jurnal Ilmiah Informatika dan Ilmu Komputer Nuansa Informatika Journal of Informatics, Electrical and Electronics Engineering Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science Jurnal Media Borneo Jurnal Media Celebes Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Bulletin of Artificial Intelligence Journal of Decision Support System Research
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Multiple Attribute Decision Making Menggunakan Metode TOPSIS Dalam Penentuan Staff Marketing Terbaik Setiawansyah Setiawansyah; Very Hendra Saputra; Sanriomi Sintaro; Ahmad Ari Aldino
Bulletin of Artificial Intelligence Vol 2 No 2 (2023): October 2023
Publisher : Graha Mitra Edukasi

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

Abstract

Multiple Attribute Decision Making (MADM) is an approach used in decision making to select the best alternative from a number of given criteria or attributes. This research aims to apply the TOPSIS method in selecting the best marketing staff so that it can become a reference and benchmark for companies in selecting the best marketing staff using a decision support system model. The results of the ranking of the selection of the best marketing staff who got rank 1 with a value of 0.644, namely Ahmad, rank 2 with a value of 0.539, namely Hermawan, rank 3 with a value of 0.529, namely Santoso, rank 4 with a value of 0.443, namely Jayanti, rank 5 with a value of 0.399, namely Heru.
Sistem Pengarsipan Surat Masuk dan Surat Keluar di Kantor Kelurahan Kleak Berbasis Web Kurnia Noviyanti A. Mantu; Dr. Nelson Nainggolan, M.Si; Sanriomi Sintaro, S.Kom., M.Kom
Jurnal MIPA Vol. 13 No. 2 (2024): Cover
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/jm.v13i2.50900

Abstract

Proses pengarsipan surat di Kantor Kelurahan Kleak masih dilakukan secara manual. Surat dicatat  di buku besar dan disimpan dalam bentuk hardcopy yang semakin meningkat dari waktu ke waktu, membutuhkan tempat penyimpanan yang besar serta waktu yang ekstra untuk mencari surat yang diperlukan. Dengan perkembangan teknologi memungkinkan dilakukannya pengarsipan surat masuk dan surat keluar melalui sistem pengarsipan berbasis website. Tujuan dibangunnya sistem pengarsipan surat berbasis website ini adalah untuk mempermudah dalam melakukan proses pengarsipan surat masuk dan surat keluar dan juga meminimalisir adanya kehilangan surat masuk dan surat keluar. Sistem ini dibangun dan dikembangkan menggunakan metode waterfall dimulai dari analisis, desain, pengodean atau implementasi, pengujian, operasi dan pemeliharaan. Website pengarsipan ini memiliki dua entitas yaitu Sekretaris sebagai pengelola yang dapat melakukan proses login, input, edit, hapus, lihat dan cari surat sedangkan Staff dapat melakukan proses login, lihat, dan cari surat yang dibutukan. Sistem ini dapat mempermudah dan membantu perangkat di Kantor Kelurahan Kleak dalam proses pengarsipan serta meminimalisir rusak dan hilangnya surat-surat yang ada dan juga membantu proses pencarian surat yang telah diarsipkan Kata Kunci : Sistem Pengarsipan, Arsip Surat, Website, Waterfall. The process of archiving letters at the Kleak Subdistrict Office is still being done manually. by recording them in a ledger, and the storage of letters is in hardcopy form, which increases over time and requires a large storage space as well as extra time to find the required letters. With technological advancements, it is now possible to archive incoming and outgoing letters through a web-based archiving system. The purpose of building this web-based letter archiving system is to simplify the process of archiving incoming and outgoing letters and also to minimize the risk of losing them. The system is built and developed using the waterfall method, starting from analysis, design, coding or implementation, testing, operation, and maintenance. This archiving website has two entities: the Secretary, who is the administrator and can perform login, input, edit, delete, view, and search for letters, while the Staff can perform login, view, and search for the required letters. This system can facilitate and assist the personnel at the Kleak Subdistrict Office in the archiving process, as well as minimize the damage and loss of existing letters, and also help in the search for archived letters Keywords: Archiving System; Mail Archive; Website; Waterfall
Training on the Use of Fruit Dryer Technology for Optimizing MSME Production of Marning Mesuji Suaidah, Suaidah; Aldino, Ahmad Ari; Ningtyas, Kurnia Rimadhanti; Oktaviani, Lulud; Surahman, Ade; Sintaro, Sanriomi; Budiono, Andiswar Muhamad; Lestari, Yuni Tri
International Journal of Public Devotion Vol 6, No 1 (2023): January - July 2023
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/ijpd.v6i1.3721

Abstract

Margo Jadi Village, Mesuji Timur District, Mesuji Regency, Lampung Province is one of the Micro, Small and Medium Enterprises (MSME) groups in the category of micro businesses engaged in selling marning corn. Marning corn is a snack that is consumed after going through a simple processing. MSME Corn marning Mesuji is managed by an industrial house consisting of several houses, namely Mr. Sahid, Mrs. Lina, Mr. Sumarnak Mrs. Maryati, Mrs. Mislah and Mrs. Sudarsih which were established in 2000. Every member of the MSME marning also cooperates with each other in all matters relating to marning production. Every MSME production of Mesuji marning corn can reach 100 kg per week to be sent out of town such as Jambi city. The production of marning is carried out with inadequate tools, to dry corn which is still conventionally boiled, that is, relying on sunlight. The team provided training on automatic fruit dryer technology which can dry wet corn quickly, not affected by the weather, the water content in boiled corn will be reduced to the maximum and make the drying process more awake and organized. With MSME partners dryers can dry marning corn more hygienic and protected from dust or dirt because corn is dried in a closed room
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 (JAITI) 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.
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 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 Deiby T Salaki DINGSE PANDIANGAN Djoni Hatidja Dodisutarma Lapihu Donaya Pasha Dr. Nelson Nainggolan, M.Si Eko Dedi Listiono Eliasta Ketaren Fenty ariany Goma, Shotya Henry Tampi, Christian Ronaldo Hutasoit, Las D. Idrajat Pangestu Irfan Fauzan Iriansu, Irfah Syagitsyah Islam, Noorul Isnain, Auliya Rahman Izudin Ismail Johanes, Albani Boutje Kadek Tame Jaya Kaplale, Jaidun Ramadhan Khafidlin Triatama Kurnia Noviyanti A. Mantu Lapu Kalua, Aditya Latumakulita, Luther Aleander 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 Nainggolan, Verina Putri Gloria NELSON NAINGGOLAN Ngangi, Stephano Caesar Wenston ningtyas, Kurnia rimadhanti Nofri Khairandi Pamungkas, Nurhuda Budi Pasaribu, A. Ferico Octaviansyah Putra, Ade Dwi Raintung, Stephanie Marceline Rillya Arundaa Ryan Randy Suryono Salaky, Deiby Tineke Setiawansyah Setiawansyah Setiawansyah Setiawansyah Siska Ayu Widiana Soleman, Kurniawan Stephano Caesar Wenston Ngangi SUAIDAH SUAIDAH, SUAIDAH Sulung, Sharon Tabita Sumanto, Sumanto Surahman, Ade Takaendengan, Mahardika Inra Tenda, Edwin Tien Yulianti Turnip, Rama Ijon Tutu, Erlica M.I. Van Gobel, Amelya Ramadhanty Vederico Pitsalitz Sabandar 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