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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 Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi 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 Jurnal Agroekoteknologi Terapan 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 CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Informatics and Software Engineering (ISE) Journal of Information Technology, Software Engineering and Computer Science Bulletin of Artificial Intelligence Journal of Decision Support System Research Jurnal Komputasi
Sanriomi Sintaro
Universitas Sam Ratulangi
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Penerapan Rank Reciprocal dan Multi-Attributive Border Approximation Area Comparison Untuk Penentuan Lokasi Cafe Baru Sanriomi Sintaro
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 2 No. 1 (2024): Volume 2 Number 1 March 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i1.103

Abstract

Determining the location for a new café involves careful and strategic considerations to ensure the success of the business. Geographical aspects such as local population, demographics, and level of competition in the area are the main factors considered. The combination of careful analysis of geographical factors, markets, as well as branding and business concepts, will help in determining the optimal location to open a successful new café. This study aims to provide recommendations for new café locations by applying a decision support system model, namely the reciprocal rank method to determine the weight of criteria and MABAC to assess the location of new cafes so that it will produce ranking recommendations for new locations. The application of reciprocal rank and MABAC methods in determining the location of new businesses gets the final results and provides recommendations for rank 1 with a final value of 0.4792 obtained by Location A, rank 2 with a final value of 0.2552 obtained by Location T, and rank 3 with a final value of 0.1512 obtained by Location D.
Penerapan Metode Preference Selection Index Terhadap Pemilihan Sales Terbaik Sanriomi Sintaro
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.
VTO Model Tester with MindAR Library Sanriomi Sintaro; Lucky Putra Dharmawan
Jurnal Komputasi Vol. 11 No. 2 (2023)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v11i2.12280

Abstract

Augmented Reality is not a new technology, with more than 30 years of age, AR, which used to require large resources, can now even be run using a website application. The advantage of using a website is that the website application can be run on almost any device that supports a web browser. Web AR can also be used as a trial tool that can be used by customers to try on clothes or other products which is also known as VTO or Virtual Try On. The problem that arises from VTO Application is from the 3D designer side, which must make 3D Object and always readjust if the 3D is not suitable for VTO that requires accuracy of shape and size, that must be adjusted between 3D objects and human faces. The focus of this research is creating a website application that can connect to the internet so that 3D designers can easily access the VTO tester from any device to test 3D objects that have been created for Virtual Try On. The result of this research is that we can use local storage as a temporary storage medium and proof that local storage cannot also be used to store documents but also to store 3D objects. By immediately deleting temporary storage in local storage, the storage quota will not increase so that our local storage drives are not affected, the memory usage of only 10MB is also an advantage of this VTO Tester application, because it does not require a large memory to run the VTO Tester. In terms of memory usage, there is no memory leak that results when using VTO Tester application, this proves that the application developed can be used repeatedly without worrying about burdened computer performance.
Pemilihan Ukuran Kail Optimal Berbasis Karakteristik Ikan Laut Menggunakan Metode AHP-SAW: Studi Kasus di Perairan Sekitar Kota Manado Sanriomi Sintaro; Frangky Jessy Paat; Luther Alexander Latumakulita
Jurnal Komputasi Vol. 13 No. 1 (2025)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v13i1.289

Abstract

Keberhasilan kegiatan penangkapan ikan dengan metode pancing sangat dipengaruhi oleh pemilihan ukuran dan jenis kail yang sesuai. Setiap spesies ikan memiliki karakteristik biologis yang berbeda, seperti berat tubuh dan ukuran mulut, yang harus dipertimbangkan dalam pemilihan kail agar aktivitas penangkapan menjadi lebih efisien dan berkelanjutan. Penelitian ini bertujuan untuk mengembangkan model pengambilan keputusan yang sistematis dalam pemilihan ukuran kail optimal untuk berbagai spesies ikan. Metode yang digunakan adalah kombinasi Analytic Hierarchy Process (AHP) untuk menentukan bobot kriteria dan Simple Additive Weighting (SAW) untuk merangking alternatif ukuran kail berdasarkan kriteria tersebut. Empat kriteria utama yang dipertimbangkan meliputi kesesuaian ukuran mulut ikan, kapasitas berat maksimum kail, kekuatan bahan kail, dan ketersediaan kail di pasaran. Proses SAW dilakukan secara spesifik untuk setiap spesies ikan, dengan mempertimbangkan karakteristik biologis masing-masing ikan sebagai tahap penyaringan awal. Hasil penelitian menunjukkan bahwa ukuran kail optimal sangat bervariasi tergantung pada spesies ikan target. Ikan berukuran besar seperti Tuna dan Marlin direkomendasikan menggunakan ukuran kail besar (9/0, 8/0), sementara ikan kecil seperti Roa dan Baronang lebih sesuai dengan ukuran kail kecil. Model AHP-SAW yang dibangun terbukti efektif dalam memberikan rekomendasi ukuran kail yang lebih objektif, sistematis, dan aplikatif. Temuan ini diharapkan dapat membantu meningkatkan efisiensi dan keberlanjutan praktik penangkapan ikan di lapangan. Ke depan, validasi lapangan bersama komunitas nelayan direncanakan untuk menguji efektivitas model ini di praktik penangkapan nyata. Selain itu, pengembangan sistem rekomendasi otomatis berbasis aplikasi diharapkan dapat meningkatkan penerapan model ini secara praktis di kalangan pelaku perikanan.
Rekomendasi Handheld Gaming PC Menggunakan MEREC untuk Pembobotan Objektif dan MARCOS untuk Pemeringkatan Sanriomi Sintaro; Sandi Badiwibowo Atim
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 12 No. 1 (2026): April 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v11i3.19016

Abstract

This study proposes a decision support system to select a handheld gaming PC by integrating the MEREC weighting method with the MARCOS ranking method. Sixteen devices were evaluated using Tokopedia price data and technical specifications across nine criteria: price, SSD capacity, RAM capacity, battery capacity, device weight, screen size, refresh rate, total screen pixels, and a display-type score (OLED=3, IPS=2, LCD=1). MEREC indicates SSD capacity is the most influential criterion (wC2=0.2085), followed by total pixels (wC8=0.1497) and display score (wC9=0.1389). MARCOS ranks MSI CLAW 8 first with Si=0.7652 and f(Ki)=0.6776, followed by ROG Xbox Ally X Premium and ASUS ROG Ally X (both Si=0.7535; f(Ki)=0.6672). The results show that storage and display attributes dominate recommendations for the observed dataset, and the framework provides an explainable, data-driven ranking that can be updated when market prices change.
Edutainment Approach to Teaching Verbs: A Battle-Themed English Lesson Sanriomi Sintaro
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 3 No. 1 (2025): Volume 3 Number 1 January 2025
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v3i1.169

Abstract

English is the primary foreign language that plays a crucial role in various aspects of life, particularly in accessing global information, mastering, and developing knowledge across multiple fields, including technology, arts, and culture. But not only that, English is also included as one of the subjects in the world of education in Indonesia. Furthermore, English proficiency significantly contributes to establishing and strengthening relationships with different nations worldwide, whether in academic, professional, or social contexts.With the rapid advancement of technology and the declining motivation of students in learning, it is increasingly important to implement more innovative and modern learning approaches. One such approach is edutainment, which integrates educational content with entertainment elements to enhance student engagement and create a more effective learning experience. Additionally, competition-based methods can serve as an alternative reference in the development of edutainment to further stimulate students' interest in learning. This study focuses on developing competition or battle-themed edutainment as a medium for introducing verbs in English, along with their past tense (V2) and past participle (V3) forms. Battle-based edutainment has proven to be an effective learning tool. Based on tests conducted on 30 target users, their satisfaction levels were measured using the SUS Score, which resulted in an average score of 89.25, classified within the A scale, indicating an above-average satisfaction level.
Pemilihan Tempat Menginap di Kota Tomohon Menggunakan Metode Entropy-TOPSIS Berbasis Data Online Travel Agent Bidadari Yuritza Destilasilika; Sanriomi Sintaro; Cyndrika Rany Philipus; Ricardo Gianluigi Tindi
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 2 (2026): Volume 4 Number 2 April 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i2.246

Abstract

Perkembangan platform online travel agent telah mengubah cara wisatawan mencari, membandingkan, dan memilih tempat menginap. Informasi digital seperti harga, rating, jumlah ulasan, fasilitas yang terlihat, dan urutan popularitas membantu wisatawan menilai berbagai alternatif, tetapi banyaknya informasi juga dapat menyulitkan proses pengambilan keputusan. Penelitian ini bertujuan membangun model Sistem Pendukung Keputusan pemilihan tempat menginap di Kota Tomohon menggunakan metode Entropy-TOPSIS berbasis data online travel agent. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan data sekunder yang dikumpulkan pada 1 Mei 2026. Sebanyak 12 alternatif penginapan dianalisis berdasarkan lima kriteria, yaitu harga, rating, jumlah ulasan, fasilitas terlihat, dan urutan popularitas. Metode Entropy digunakan untuk menentukan bobot kriteria secara objektif berdasarkan variasi data, sedangkan TOPSIS digunakan untuk menentukan peringkat alternatif berdasarkan kedekatan terhadap solusi ideal positif dan jarak terhadap solusi ideal negatif. Hasil penelitian menunjukkan bahwa jumlah ulasan memiliki bobot tertinggi sebesar 0,3602, diikuti fasilitas terlihat sebesar 0,3362, urutan popularitas sebesar 0,1670, harga sebesar 0,1332, dan rating sebesar 0,0034. Hasil TOPSIS menunjukkan bahwa Jhoanie Hotel memperoleh nilai preferensi tertinggi sebesar 0,7502, diikuti Grand Master Villa Tomohon sebesar 0,4799 dan Hotel Villa Emitta sebesar 0,4078. Temuan ini menunjukkan bahwa pemilihan tempat menginap perlu mempertimbangkan beberapa kriteria secara bersamaan, bukan hanya harga atau rating, sehingga rekomendasi yang dihasilkan lebih objektif.
Two-Stage Entropy-Topsis Model For Hotel And Ecotourism Destination Selection in Bitung, North Sulawesi, Indonesia Cyndrika Rany Philipus; Sanriomi Sintaro; Ricardo Gianluigi Tindi; Bidadari Yuritza Destilasilika
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 2 (2026): Volume 4 Number 2 April 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i2.247

Abstract

This study develops a Two-Stage Entropy-TOPSIS model for hotel and ecotourism destination selection in Bitung, North Sulawesi, Indonesia. The model reflects a realistic tourist decision process, where tourists first select a hotel from the airport and then choose ecotourism destinations from the selected hotel as the starting point. Data were collected from Google Maps, including rating, number of reviews, distance, travel time, hotel facility score, and ecotourism suitability score. In the first stage, eight hotel alternatives were evaluated based on Google Maps rating, number of reviews, distance from Sam Ratulangi Airport, travel time from the airport, and facility score. The Entropy method was used to determine objective criteria weights, while TOPSIS was applied to rank alternatives. The results showed that favehotel Bitung ranked first with a preference value of 0.9999 and was selected as the origin point for the second stage. In the second stage, ecotourism destinations were evaluated using the selected hotel as the starting point. The main calculation included destinations with complete road-based accessibility data. The results showed that Kebun Binatang Tandurusa ranked first with a preference value of 0.9989, followed by Batuangus Beach, Pantai Tanjung Merah, and Pantai Lilang. These findings indicate that the proposed model can provide structured, sequential, and data-driven recommendations for tourism decision-making based on Google Maps data
Aplikasi Web Prediksi Cuaca Berbasis API BMKG dengan Pemilahan Wilayah Pesisir dan Non-Pesisir: Studi Kasus Kota Manado Sanriomi Sintaro; Reni Lucia Kreckhoff
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 2 (2026): Volume 4 Number 2 April 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i2.248

Abstract

Cuaca merupakan faktor penting yang memengaruhi aktivitas masyarakat, terutama bagi nelayan tradisional dan pemancing di wilayah pesisir Kota Manado. Ketersediaan informasi prakiraan cuaca yang akurat, mudah dipahami, dan relevan hingga tingkat kelurahan diperlukan untuk mendukung keselamatan, efisiensi, serta perencanaan aktivitas harian. Penelitian ini bertujuan mengembangkan aplikasi web prediksi cuaca berbasis API BMKG dengan fitur pemilahan wilayah pesisir dan non-pesisir pada studi kasus Kota Manado. Metode penelitian menggunakan pendekatan rekayasa perangkat lunak berbasis integrasi data terbuka, yang meliputi identifikasi kebutuhan pengguna, perancangan arsitektur sistem, pengelompokan wilayah berdasarkan kode ADM4, implementasi aplikasi web, serta pengujian fungsional dan usability sederhana. Aplikasi dikembangkan menggunakan Flask berbasis Python sebagai server, serta HTML, CSS, dan JavaScript sebagai antarmuka pengguna. Data prakiraan cuaca diperoleh dari API publik BMKG dan ditampilkan dalam bentuk visual berdasarkan interval waktu tiga jam. Hasil pengujian menunjukkan bahwa aplikasi mampu mengambil data secara real-time, menampilkan informasi cuaca secara konsisten sesuai data JSON, serta memberikan waktu respons yang cepat. Uji coba pada pengguna menunjukkan bahwa antarmuka aplikasi mudah dipahami, termasuk oleh nelayan tradisional. Penelitian ini memberikan kontribusi dalam pemanfaatan open data BMKG untuk penyajian prakiraan cuaca lokal yang lebih kontekstual, khususnya melalui pemilahan wilayah pesisir dan non-pesisir. Pengembangan selanjutnya dapat diarahkan pada integrasi data pasang surut, edukasi cuaca maritim, serta rekomendasi waktu melaut
Co-Authors Ade Dwi Putra Ade Surahman Ade Surahman Ade Surahman Ade Yusupa 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 Atim, Sandi Badiwibowo Bernard Bernard, Bernard Bidadari Yuritza Destilasilika Budiono, Andiswar Muhamad Catra Adi Pranata Christian Alderi Jeffta Soewoeh Cyndrika Rany Philipus 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 Erlica M.I. Tutu Fenty ariany Frangky J. Paat Frangky Jessy Paat Goma, Shotya Henry Tampi, Christian Ronaldo Idrajat Pangestu Irfan Fauzan Iriansu, Irfah Syagitsyah Islam, Noorul Isnain, Auliya Rahman Isnian, Sitti Nur Izudin Ismail Johanes, Albani Boutje Jumriadi Kadek Tame Jaya Kaplale, Jaidun Ramadhan Khafidlin Triatama Kurnia Noviyanti A. Mantu Lapu Kalua, Aditya Las D. Hutasoit Latumakulita, Luther Aleander Lili Andraini Lucky Putra Dharmawan Lulud Oktaviani Lusiana Indawa Luther Alexander Latumakulita 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 Pemmy Tumewu Philipus, Cyndrika Rany Priandika, Adhie Thyo Putra, Ade Dwi Raintung, Stephanie Marceline Rantung, Meity R. Reni Lucia Kreckhoff Ricardo Gianluigi Tindi Ricardo Gianluigi Tindi Rillya Arundaa Ryan Randy Suryono Salaky, Deiby Tineke Sandi Badiwibowo Atim 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 Van Gobel, Amelya Ramadhanty Vederico Pitsalitz Sabandar Very Hendra Saputra Very Hendra Saputra Wahyudi, Agung Deni Walingkas, Stanley A. F. Waqas Arshad, Muhammad Wisard Widsli Kalengkongan Yessi Yunitasari YOHANA TRI UTAMI, YOHANA TRI Yohanes Bery Mokalu Yuni Tri Lestari, Yuni Tri Yuri Rahmanto