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Expert System Builder (ESB) Terhadap Persepsi Pengguna Pada Kelainan Refraksi Matamiopia Susliansyah, Susliansyah
UG Journal Vol 10, No 12 (2016)
Publisher : Universitas Gunadarma

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

Abstract

Tujuan penelitian ini adalah untuk mengetahui efektivitas pada penerapan ExpertSystem Builder (ESB) untuk menentukan penyakit refraksi miopia pada tokokacamata. Metode yang digunakan dalam penelitian ini adalah metode deskriptif,analisis data menggunakan kuesioner dengan melakukan pengujian validitas,pengujian reliabilitas, pengujian asumsi klasik, analisis goodness of Fit. Padapengujian asumsi klasik dilakukan dengan tiga cara: normalitas, multikolinearitas,autokorelasi sedangkan pada analisis goodness of Fit dengan cara koefisiendeterminasi, signifikansi simultan (F), signifikansi parsial (t) pada level of significance5% (α = 0,05). Tingginya nilai korelasi parsial sebesar 0,334 menunjukkan bahwapersepsi pengguna didominasi oleh variabel user. Hal ini membuktikan bahwapengguna sistem pakar lebih utama melihat pada kesederhanaan, kemudahan,penggunaan serta pemahaman terhadap aplikasi Expert System Builder (ESB) dannilai adjusted square sebesar 23,9% menunjukkan bahwa persepsi penggunaterhadap penerapan aplikasi sistem pakar pada kelainan refraksi mata tidaksepenuhnya dipengaruhi oleh variabel-variabel independen seperti content, use,timeliness dan aksesibilitas, sedangkan sisanya yaitu sebesar 76,1 % dijelaskan olehvariabel lain yang tidak dimasukkan ke dalam model regresi. Nilai adjusted squareyang kecil tersebut menunjukkan hubungan yang lemah antara variabel terikatdan variabel bebas.
Decision Making on Student Academic Achievement Assessment Using the Topsis Method S Susliansyah; Aditia Dwinanto; Heny Sumarno; Hendro Priyono; Linda Maulida
IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i1.115

Abstract

Student academic achievement is a very important matter for all school parties that are directly or indirectly related, especially for Depok Tourism Vocational School, student academic achievement is one of the benchmarks in the success of education. Currently, the process of determining student achievement from the academic side of the Depok Tourism Vocational School is still using a manual system, so it takes a long time to determine the assessment of student academic achievement, because there are quite a lot of student data recording. In addition, it is still less relevant because it has not used the right calculation method, resulting in inaccurate calculations. This research uses the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method, because this method is a simple concept and easy to understand and to help the optimal decision-making process to solve practical decision problems. The results of the research using the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method found that students with the name Akmal Adnanto got the first rank with the highest preference value of 0.760.
RANCANG BANGUN ANIMASI PENGENALAN MUSEUM SEJARAH JAKARTA BERBASIS MULTIMEDIA Susliansyah Susliansyah; Asep Saepudin; Ririn Restu Aria
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 3, No 2 (2017): JURNAL TEKNIK KOMPUTER AMIK BSI
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1099.035 KB) | DOI: 10.31294/jtk.v3i2.1905

Abstract

Abstrak  –  Museum Sejarah Jakarta merupakan salah satu sumber informasi mengenai perkembangan atau perjalanan kota jakarta, rendahnya minat masyarakat terhadap informasi Museum Sejarah Jakarta yang berhubungan dengan sejarah-sejarah jakarta, dikarenakan informasi di Museum Sejarah Jakarta masih menggunakan sejenis poster ataupun baner, sehingga masyarakat merasa cepat bosan karena dengan metode tersebut dianggap kurang efisien dan kurang menarik. Adapun metode pengumpulan data yang digunakan adalah dengan cara observasi, wawancara dan studi pustaka sedangkan metode pengembangan sistem menggunakan waterfall dengan tahapan analisa kebutuhan sistem, desain pembuatan kode program, pengujian dan pendukung. Media informasi sejarah untuk pengunjung ini diharapkan dapat memberikan fitur-fitur lebih seperti peragaan secara langsung, materi yang lebih detil, dan terkesan menyenangkan. Animasi merupakan teknologi yang dapat digunakan untuk berbagai keperluan, salah satunya adalah media Animasi Pengenalan Sejarah Jakarta Pada Museum Sejarah Jakarta yang dapat digunakan oleh pengunjung. Penggunaan media ini dalam proses informasi dapat memotivasi pengunjung dan meningkatkan pengetahuan dan dapat menarik simpati pengunjung untuk membaca informasi sejarah.Kata Kunci : Animasi, Museum Sejarah Jakarta, Multimedia Interaktif
SISTEM PEMILIHAN LAPTOP TERBAIK DENGAN MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Susliansyah Susliansyah; Ririn Restu Aria; Susi Susilowati
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (896.131 KB) | DOI: 10.33480/techno.v16i1.105

Abstract

The Weighted Product method requires a normalization process because this method assumes the results of evaluating each attribute. The results of these multiplications have not been meaningful if they have not been compared (divided) with standard values. The weight for the benefit attribute functions as a positive power in the multiplication process, while the weight of the cost functions as a negative rank. The Weighted Product method uses multiplication as a linking attribute rating, where the rating of each attribute must be raised first with the corresponding weight. Weighting Product Weighted method is calculated based on the level of importance. This system requires input weight values based on prospective buyers' needs in the form of prices, RAM capacity, processor type, Harddisk capacity, and VGA (Video Graphics Array). The results of this study provide laptop recommendations according to specification requirements for prospective buyers with 100% calculation accuracy based on manual calculations and calculations on laptop selection decision support systems.
IMPLEMENTATION OF DECISION SUPPORT SYSTEM FOR SELECTION OF DEPARTMENTS WITH VIKOR METHOD IN SMK PARIWISATA DEPOK Muhammad Nur; Susliansyah Susliansyah
Jurnal Techno Nusa Mandiri Vol 16 No 2 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (880.588 KB) | DOI: 10.33480/techno.v16i2.751

Abstract

The choice of majors is very important for vocational high school students. There are several factors that influence the decision making of majors. Therefore the writing of this thesis has the purpose of, among others, helping vocational high schools to be able to choose majors in accordance with the wishes and abilities of students. The purpose of writing this thesis is one of the graduation requirements for the Strata Satu (S1) program for the Nusa Mandiri Jakarta (STMIK) program. To achieve the objectives in this study, the authors used quantitative analysis methods. Quantitative analysis in this research is to process the normalization of each criterion value from each alternative that can produce a value and rank in seeing the best majors for students by using the Vise Kriterijumska Optimizacija I Kompromisno Resenje (Vikor) method. Method of Vise Kriterijumska Optimizacija I Kompromisno Resenje (Vikor) helps solve complex problems by determining from the criteria, final score results in vikor and by drawing various considerations to develop weights or priorities.
PROVISION OF MICRO CREDIT AT BANK MANDIRI BOGOR WITH THE FUZZY TSUKAMOTO METHOD Susliansyah Susliansyah; Nisan Nisan; Heny Sumarno; Hendro Priyono; Linda Maulida
Jurnal Techno Nusa Mandiri Vol 17 No 2 (2020): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v17i2.1529

Abstract

It is an advantage for the bank, in this case, the Bank Mandiri Dramaga1 Bogor Unit, because of the increasing credit activity in banks, it is necessary to have an assessment in credit as consideration for prospective customers before the bank decides to accept or reject a prospective customer request. So it is necessary to develop a method that can assist and facilitate the bank in making decisions quickly and accurately. The basis for decision making is based on the criteria for determining who is eligible or not to receive a loan. To assist in determining whether someone is eligible or not to receive a loan, a decision support system is needed using fuzzy logic and applying the Tsukamoto method. The Lending Decision Support System was created to assist and facilitate the bank in making decisions to provide alternatives if a prospective customer applies for credit is accepted or not.
APPLICATION OF CALCULATION METHODS MULTI ATRIBUTTE UTILITY THEORY (MAUT) IN SELECTION OF YARN SUPPLIER Susliansyah Susliansyah; Yahdi Kusnadi; Heny Sumarno; Hendro Priyono; Linda Maulida
Jurnal Techno Nusa Mandiri Vol 18 No 2 (2021): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v18i2.2706

Abstract

The main objective of the yarn supplier selection process is to determine suppliers who have efficiency in meeting the company's needs consistently and minimize risks related to the procurement of yarn and components needed. In solving problems in supplier selection using the Multi Attribute Utility Theory (MAUT) method which consists of calculating matrix normalization and attribute normalization. The results obtained in this study are to find out the best supplier from other suppliers, namely GSM suppliers with a value of 0.87.
Application of Decision Support System for the Best Teacher Selection with the Simple Additive Weighting Method S Susliansyah; Fintri Indriyani; Annisa Dwi Wijayanti
IJISTECH (International Journal of Information System and Technology) Vol 4, No 1 (2020): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.808 KB) | DOI: 10.30645/ijistech.v4i1.83

Abstract

Selection of the best teachers at SMK is carried out once a month in order to provide motivation for teachers in teaching and learning activities, in decision making is still done manually and also subjectively. So that the results of the decisions are inaccurate and cause social jealousy among teachers. Therefore, in assessing the best teachers, a decision support system is needed to obtain accurate results. The Decision Support System method used for problem-solving in this study is the Simple Additive Weighting (SAW) method. The criteria used are present on time, responsibility, dress neatly and politely, participate and contribute, be active and productive, and help fellow teachers. The result of this research is to produce the selected alternative with the greatest value.
Implementation of a Website for Booking Hajj Umrah and Tour Tickets Using the Waterfall Method S Susliansyah; Heny Sumarno; Hendro Priyono; Linda Maulida
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.651 KB) | DOI: 10.30645/ijistech.v6i1.212

Abstract

PT. Qonita Zikra Semesta fully needs an information system that supports and provides information and good service for customers. That is why the writer tries to make her Final Assignment concerning with the travel ticket reservations system with waterfall method, choosing this method because this method is ordered starting from the analysis, design, coding, testing, and support. Because at this time the existing system is still done manually, starting from customer registration to storing data related to the order process, to making reports. So that it is possible when the order process takes place arises problems such as recording errors during registration, loss of data, duplication of data, burning of documents, and late reporting because the data must be searched first and takes a long time. The design of this information system is the best solution to solve the problems that exist in this company. With a computerized system that can make a company work effectively and efficiently and in a booking system that is now much more conducive and well recorded than the system that is still manual as before
Application of A Decision Support System on Additive Ratio Assessment (ARAS) Method in Determining Best-Selling Korean Snacks S Susliansyah; Heny Sumarno; Hendro Priyon; Linda Maulida; Fintri Indriyani
IJISTECH (International Journal of Information System and Technology) Vol 6, No 4 (2022): Decembar
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i4.263

Abstract

Nikmat group is a franchise company engaged in food and one of the brands owned by the company is GILDAK. GILDAK is a Korean snack business whose branches are everywhere. The different problem faced by each GILDAK branch located in each city is not being able to determine which snack menus are the most sold because consumers' tastes are different in each city, thus causing the franchisee to be inaccurate in determining what raw materials to use. in stock a lot, so as not to cause raw materials to run out. The Decision Support System (DSS) method that will be used in problem solving to determine the best-selling Korean service is the Additive Ratio Assessment (ARAS) method which has six stages such as determining the decision matrix, determining normalization, determining weights, determining normalized matrices, determining the value of the function. optimization and the highest ranking level. The results obtained from these calculations can be seen in the 5th stage, namely the best-selling snacks are Itaewon crispy chicken snacks ranked first with a value of 0.07783 (K1), original corndog snacks ranked second with a value of 0.07426 (K12) and gimpo snacks ranked third. with a value of 0.06907 (K9). It can be said that this method can be applied by companies in decision making.