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All Journal PRISMA FISIKA Coding: Jurnal Komputer dan Aplikasi Jurnal Teknologi dan Manajemen Informatika JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi CESS (Journal of Computer Engineering, System and Science) E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Jurnal Khatulistiwa Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Cyberspace: Jurnal Pendidikan Teknologi Informasi Jurnal Ilmiah Matrik JURNAL REKAYASA TEKNOLOGI INFORMASI Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Sebatik Jurnal Sisfokom (Sistem Informasi dan Komputer) Martabe : Jurnal Pengabdian Kepada Masyarakat CYBERNETICS BULETIN AL-RIBAATH JURTEKSI Indonesian Journal of Applied Informatics Jurnal ICT : Information Communication & Technology Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) JSR : Jaringan Sistem Informasi Robotik INFORMASI (Jurnal Informatika dan Sistem Informasi) Jurnal Penelitian Manajemen Terapan (Penataran) Jurnal Sistem Komputer dan Informatika (JSON) TEPIAN Teknika Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Djtechno: Jurnal Teknologi Informasi Jurnal PkM (Pengabdian kepada Masyarakat) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sistim Informasi dan Teknologi Jurnal Ilmiah Sistem Informasi
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Sistem Pendukung Keputusan Rekomendasi Emiten Saham Menggunakan Metode Simple Additive Weighting Renny Puspita Sari; Muhamad Rabil Maulana
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 3 (2021): Mei 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.3037

Abstract

In the current era, stock investing is an instrument that is currently popular with Indonesian youth, stock investing is one of the many investment options that are increasingly in demand by various groups. Investing in stocks is an activity to refrain from enjoying the present for more enjoyment in the future, this investment often brings someone to be wiser in managing their finances, choosing good stocks is not an easy thing for some investors it takes many factors and ratios - financial ratios to choose stocks that can provide financing by the initial investment objectives. Therefore we need a system to help these problems. The system is a decision support system that can assist in making decisions from the available options. This Stock Issuer Recommendation Decision Support System Using the Simple Additive Weighting Method is here to assist decision-makers to choose good issuers or stocks to collect so that they can provide good profits in the future. The results of the calculation on the system using the Simple Additive Weighting method will show the best suitable stock recommendations for the user based on the data they enter.
Sistem Pendukung Keputusan Pemilihan Distro Linux Menggunakan Metode Simple Additive Weighting (SAW) Renny Puspita Sari; Fiqri Syah Redha
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 2 No. 3 (2021): Mei 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.3039

Abstract

Linux is a kernel whose development has been very active since it was first released to the public. With a large community, Linux development has penetrated into various fields in the world of computerization, including personal computers. Today, Linux can be used on a variety of devices from personal computers to embedded systems. The development is very active thanks to the large community and Linux adopting open source, many developers are making their own version of the Linux-based operating system. Versions and types of Linux-based operating systems are called distros or distributions. The number of versions and types of Linux-based operating systems, of course, confuses users who are trying Linux for the first time or who want to fully switch to Linux from another operating system. Decision support systems can provide alternative solutions for those users who are confused about choosing a Linux distribution. By using the Simple Additive Weighting (SAW) method, the existing criteria can be used as benchmarks in determining the Linux distribution of choice and therefore the accuracy of the system can exceed 90%
Sistem Penentuan Keputusan Seleksi Pemilihan Asisten Dosen Sistem Informasi Dengan Penerapan Metode TOPSIS Renny Puspita Sari; Muhammad Aidil Rifaldi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4184

Abstract

The selected lecturer assistant can help the lecturer as a liaison with students so that the lecturer assistant can affect the quality of student learning outcomes. It's just that the acceptance of teaching assistants that were previously less effective and efficient because they still use manual rules and procedures, so they can spend time in their determination, besides that the assessment is still subjective or still looks at the closest family to one candidate in the acceptance of teaching assistants and there are no requirements The right specialty in determining lecturer assistants, causing problems, namely difficulties in determining a suitable lecturer assistant and having skills in his field, In making the wrong decision it results in distrust of the accepted lecturer assistant so that it can have an impact on decreasing students' understanding and skills of the subject. Therefore, a system is needed to solve a problem by providing decision making, so that it can help decision makers in determining the graduation of the right lecturer assistant. The TOPSIS method is applied by the author in this journal, because the TOPSIS method is able to overcome MADM problems so it is very practical in completing a decision, besides that the alternative TOPSIS method selected is obtained from the calculation process and after that ranking is carried out, so that from the process the best alternative is obtained from criteria that have been determined, so that it can be used as a solution in decision making. Because the system takes the value from the best criteria, the accuracy obtained in this system exceeds 90%.
Sistem Informasi Geografis Pemetaan Kawasan Permukiman Kumuh Kota Pontianak Berbasis Website Dandi Suagira Buana; Renny Puspita Sari; Syahru Rahmayuda
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4206

Abstract

The increase in population every year triggers various problems including the accumulation of population in one particular area which can potentially lead to new slum areas. Information regarding the distribution of slum settlements has not been published, so people do not know the area they will be increasing or including the slum area. In overcoming these problems, a Geographic Information System (GIS) was designed to digitally map the distribution of slum areas using calculations based on PUPR Ministerial Regulation No. 14 of 2018 concerning Prevention and Quality Improvement of Slum Housing and Slum Settlements. The determination was calculated using 7 indicators and 16 criteria and resulted in 3 classifications of slum level consisting of light slums, medium slums, and heavy slums. The final result of this research is expected to help the relevant government and the community in knowing the distribution area of slums based on WebGIS. Black-box testing is used to test the functionality of the system that was built and get good results with details of all functions running and following the design stage. Testing the system interface was carried out using an online questionnaire filled out by 38 respondents, resulting in a percentage of 87.5% calculated using a Likert scale so that it was categorized as excellent.
Co-Authors , Syahru Rahmayuda, Haris Febriyanto Ramadhan , Sampe Hotlan Sitorus A.A. Ketut Agung Cahyawan W Abdinal Mukhlasin Adi, Ahmad Cahyono Ahmad Atiq Ahmad Atiq Ahmad Cahyono Adi Albert Stephano Alfikri, Muhammad Dhani Alfredo Michael Alliandaw Alif, Dimas Zaidan Anita Ratna Pertiwi Arif Rahman Avivah Avivah Bambang Kurniadi Bayu Saputra Cucu Suhery Dandi Suagira Buana Dela Anggraini Desni Yuniarni Desni Yuniarni Dian Kinasih, Intan Ratu Dian Prawira Dian Prawira Dian Prawira, Dian Dwi Marisa Midyanti Elvi Rusmiyanto Pancaning Wardoyo, Suci Lestari, Mukarlina, Enricho Rasimin Enricho Rasimin Evi Noviani Febrianto, Ferdy Febriyanto, Ferdy Ferdy Febriyanto Fiqri Syah Redha firdaus, zaitun Firmansyah, Yudi Arif Fitrah, Alif Gusrizal Gusrizal Hartoyo, Andre Ibnur Rusi Ilham Syah Ilhamsyah Ilhamsyah Ilhamsyah Indriyani, Tiya Irfan Suhendra Istikoma Istikoma Jody, Jody Jummiati Jummi Khairun Nisa Pasaribu Kristina Kristina Laila Rasyidah Lazuardi, Mohammad Arief Lita Novitasari Mega Sari Juane Sofiana Meilia Susanti Misbahul Munir S Muhamad Al-Fajar Ananda Ulsa Muhamad Luthfi Muhamad Rabil Maulana Muhammad Aidil Rifaldi Muhammad Chairul Febriansyah Muhammad Rezal Sultan Muhammad Rizqi Darmawan Mutiah, Nurul Neta Ayunda Widyasari Nurul Mutiah Nurul Mutiah Nurul Mutiah Pamela Pamela Petrus Indra Wijaya Prillya, Diva Rahman, Reiza Aditya Riswanto, Ando Riyadi, Dwi Slamet Rizqo, Muhammad Ruqiah Ganda Putri Panjaitan Sandi Eka Suprajang Shenny Berliana Arminy Sofiana Sofiana Stephanie Ngadiman Stevani Veren Sukal Minsas Sy. Irwan Nurdiansyah Syah, Ilham Syahru Rahmayudha Syahru Rahmayudha Tamara Apsari Tasha Safira Putri Thedriana Riri Ulya Ainurrahim Uray Fasha August Putra Uray Ristian Viny Fadila Viriansyah, Muhammad Mulvi Warsidah Warsidah Wildayati, Wildayati Yanti, Januari Yudha Arman Yudi