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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.
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.
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 | Full PDF (649.7 KB) | 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.
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
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 | 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.
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.
Penerapan Data Mining dalam Mengelompokkan Kunjungan Wisatawan ke Objek Wisata Unggulan di Prov. DKI Jakarta dengan K-Means Linda Maulida
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 2 No. 3 (2018): Januari 2018
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.131 KB) | DOI: 10.14421/jiska.2018.23-06

Abstract

Visits of foreign tourists to Indonesia can increase the country's foreign exchange and improve the economy of people in tourist areas. Jakarta is the capital of Indonesia which became one tourist destination for tourists. There are 8 leading tourist attraction in DKI Jakarta province according to BPS data of Prov. DKI Jakarta 1) Taman Impian Jaya Ancol, 2) Taman Mini Indonesia Indah, 3) Kebon Binatang Ragunan, 4) National Monument, 5) National Museum, 6) Satria Mandala Museum, 7) Jakarta History Museum And 8) Sunda Kelapa Harbor . The purpose of this study is to analyze the application of datamining in classifying the number of foreign tourists visiting the Prov. DKI Jakarta using k-means. The source of research data is from BPS Prov. DKI Jakarta. The research data used is the number of tourist visitors in 2007-2013 in accordance with BPS Prov. DKI Jakarta. The data are grouped into 3 clusters namely C1 = the number of high tourist visits, C2 = the number of tourists visiting medium and C3 = the number of tourist visits is low. The final centroid value used at C1 = 15.438.488, C2 = 4.464.577 and C3 = 342.332. So that the result of grouping C1 = Taman Impian Jaya Ancol, C2 = Taman Mini Indonesia Indah Dan Kebon Binatang Ragunan and C3 = National Monument, National Museum, Satria Mandala Museum, Jakarta History Museum and Sunda Kelapa Harbor. The result of C3 grouping becomes a record for the government of Prov. DKI. Jakarta.
Pemilihan Minuman yang Banyak Terjual dengan Metode Evaluation Based on Distance from Average Solution (EDAS) Susliansyah Susliansyah; Hendro Priyono; Heny Sumarno; Linda Maulida; Fintri Indriyani
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 7 No. 3 (2023): Volume 7 Nomor 3 Agustus 2023
Publisher : Politeknik Ganesha Medan

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

Abstract

Street Boba adalah brand minuman boba yang berdiri di bawah naungan PT Pangan Nikmat Abadi (Nikmat Group). Brand Street Boba ini menjadi pelarian orang-orang ketika mereka sedang ingin mengonsumsi minuman khas Taiwan ini. Bukan brand boba yang lain. Hal itu dikarenakan Street Boba selalu menyajikan minuman boba yang berkualitas. Menyajikan boba yang begitu kenyal dan manis. Berbeda dengan brand boba lainnya yang hanya menyajikan boba sedikit dan keras, serta dibandrol dengan harga mahal. Dari adanya hal tersebut, tidak mengherankan jika akhinya banyak orang lebih memilih Street Boba jika dibandingkan brand boba lain. Terbukti dengan Street Boba yang selalu penuh di setiap harinya. Adapun permasalahan yang dihadapi pihak franchise street boba cabang kota pangkal pinang adalah belum bisa menentukan atau mengelompokkan minuman paling banyak diminati oleh pengunjung, sehingga sering tidak tepat dalam melakukan pemesanan bahan baku mana yang harus dibeli banyak atau yang harus dibeli sedikit. Berdasarkan permasalahan diatas, maka diperlukan sebuah metode sistem pendukung keputusan untuk menyelesaikan permasalahan, adapun metode yang digunakan adalah metode EDAS. Hasil yang didapat setelah melakukan perhitungan metode EDAS bahwa pihak usaha dapat menentukan keputusan dengan cepat dan tepat yang berkaitan minuman yang paling banyak terjual, adapun urutan pertama adalah shibuya fresh milk dengan nilai ASI 0.572 dan urutan kedua adalah hokkaido choco dengan nilai ASI 0.500 serta urutan ketiga adalah shizuoka ichigo dengan nilai ASI 0.435.