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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sistem Komputer dan Informatika (JSON)
Ompusunggu, Elvis Sastra
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Analisis Implementasi Metode Fuzzy Tsukamoto Dalam Penentuan Calon Legislatif Salim, Stanley; -, Sutrisno; Laia, Yonata; Ompusunggu, Elvis sastra; Barus, Ertina Sabarita; Sihombing, Oloan
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 7 No. 1 (2024): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v7i1.4920

Abstract

Being elected as a legislative candidate is a challenging matter. Of course, you must know in the field of politics, both locally and globally, qualified leadership attitudes, moral values, and integrity, financially and financially established in order to carry out campaigns and have a base of followers so that all visions and programs can be conveyed to the public as a whole and clearly. Voters are also required to be wiser and more selective in choosing quality legislative candidates, given that the eligibility rate of candidates in Indonesia is still relatively low, and many participants still need to meet the criteria as ideal legislative candidates. Therefore, a technology and support system is needed that can sort and help the general public in determining quality candidates; in this case, the Tsukamoto Fuzzy method is used, which can be a solution in providing competent candidate recommendations because it has the characteristics of shortening time and simplifying the selection process objectively. This fuzzy method is a support system that is very
Analisis Sentimen Kepuasan Pengguna Media Sosial Dengan Menggunakan Data Mining Dan Matlab Silalahi, Naomi Cristin Br; Ompusunggu, Elvis Sastra
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 7 No. 2 (2024): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v7i2.5713

Abstract

In today's digital era, social media has become an integral part of many people's daily lives, with platforms such as Twitter, Facebook, Instagram, and TikTok being used to share opinions, experiences, and satisfaction or dissatisfaction with various products and services. This research aims to analyze social media user satisfaction sentiment using data mining techniques and Matlab. With data collected from several social media platforms, this research identifies and categorizes user sentiment as positive, negative, or neutral. The methods used include data collection, pre-processing, feature extraction, model building, and model evaluation. The results show that data mining techniques and Matlab effectively classify user sentiment, providing valuable insights for companies to improve their quality and performance based on social media user feedback.
KLASIFIKASI KELANCARAN PEMBAYARAN PINJAMAN KOPERASI DENGAN METODE DECISION TREE Kandayu, Raka; Maulana, Malik; Silaban, Wilfrida; Ompusunggu, Elvis Sastra
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 1 (2021): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i1.1910

Abstract

Salah isatu ipenyebab ikredit ibermasalah iadalah ikurang itelitinya ipihak ikoperasi idalam isurvei idan ianalisis ipemberian ipeminjaman. iOleh ikarena iitu, ianalisis ikredit idengan iteknik idata imining iperlu idilakukan isehingga idapat imeminimalisir inasabah iterlambat imembayar ipinjaman iserta imempersingkat iwaktu ianalisis ipemberian ipinjaman. iPenelitian iini ibertujuan iuntuk membuat sistem decision tree yang dapat digunakan sebagai klasifikasi nasabah peminjaman berdasarkan nilai kelancaran pembayaran pinjamannya. Pada penelitian ini atribut yang yang digunakan sebagai acuan untuk menganalisis kelacancaran pembayaran pinjaman koperasi adalah status keanggotaan, status pernikahan, pekerjaan, pendapatan, pengeluaran, jaminan, keperluan, jumlah pinjaman dan lama pinjman. Algotitma C4.5 digunakan untuk membentu decision tree dengan cara mencari nilai entropy, gain info, split info, dan gain ratio pada setiap atribut untuk menentukan atribut akar dan cabangnya.
IMPLEMENTASI METODE ASSOCIATION RULE DAN ALGORITMA FP-GROWTH DALAM MENENTUKAN PENJUALAN HANDPHONE DAN LAPTOP PADA INTIKOM -, shella; Ompusunggu, Elvis Sastra
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2388

Abstract

Intikom merupakan salah satu toko penjualan elektronik handphone (HP) dan laptop terbesar yang tidak hanya melayani pembelian saja tetapi juga melayani servis. Intikon dalam menentukan penjualan HP dan laptop hanya mengetahui laba, rugi dan stok persediaan barang saja, namun tidak mengetahui barang-barang apa yang akan di sediakan lebih banyak berdasarkan penjualan yang paling laris, dalam hal ini persediaan barang yang di lakukan masih melakukan cara konvensional sehingga masih terdapat kesalahan-kesalahan yang di timbulkan sehingga menimbulkan kekecewaan kepada pembeli. Dengan adanya pengetahuan tersebut maka toko berkolaborasi menggunakan metode Association Rule dengan algoritma FP Growth. Dalam menerapkan algoritma FP Growth untuk menganalisa data penjualan hp dan laptop pada toko memperoleh 6 sempel rule dari ratusan rule dengan menerapkan min support >30 dan confidence 70% dari aplikasi atau program yang sudah di jalankan. Rule yang di peroleh 100% dengan Xiaomi Redmi Note 10 5G 4GB/128GB dan Vivo V23e 8GB/128GB maka membeli Vivo Y21T 5G 6/128 Gb , 83% dengan pembelian Vivo Y21T 5G 6/128 Gb maka membeli Oppo A95 8GB/128GB dan iPhone 13 128GB, 80% dengan pembelian iPhone 13 Mini 128GB maka membeli Vivo Y21T 5G 6/128 Gb dan Oppo A16 4GB/64G.
IMPLEMENTATION OF DATA MINING TO PREDICT THE VALUE OF INDONESIAN OIL AND NON-OIL AND GAS IMPORT EXPORTS USING THE LINEAR REGRESSION METHOD Ompusunggu, Elvis Sastra; Sinaga, Wilson; Siahaan, Mikael; Banjarnahor, Jepri; Winata, Jaspin; Laia, Yonata; Sihombing, Oloan
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 1 (2023): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i1.4081

Abstract

Indonesia's export-import activities in recent years, the value of Indonesia's exports and imports has decreased due to global conditions. The problems that occur are the uncertainty and complexity in estimating the value of international trade in the oil and gas and non-oil and gas sectors, dependence on just one or a few markets, and the problem of unfair competition, unfair competition between business actors can reduce export-import prices. The value of oil and gas and non-oil and gas exports and imports is influenced by several external factors that are difficult to predict, such as fluctuations in oil and gas prices, changes in trade policies, and global economic factors. The prediction results are obtained every month from the export value data using the rapid miner application. From the export data, the value of non-oil and gas exports obtains a very high value compared to the export data of oil and gas values. Then the results from rapid miner using the linear regression algorithm are obtained. The predicted import value of oil and gas and non-oil and gas value data in June is 209,162,268, and the predicted export value of oil and gas and non-oil and gas value data in June is 349,285,781 and non-oil and gas which more are predicted to have the highest value compared to the value of oil and gas in each month.
Pengembangan Prototype Figma Untuk Sistem Point Of Sales (POS) Menggunakan Metode Design Thinking Ronovan, Kevin Almando; Jonathan, Calvin; Leonardi, Rio; Ompusunggu, Elvis Sastra
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 3 (2025): Maret 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i3.8605

Abstract

The increasing use of technology in retail operations emphasizes the importance of efficient Point of Sales (POS) systems to manage transactions, inventory, and financial reporting in real-time. Although previous research has used the Figma method for UI/UX design, there are still gaps in understanding user needs and the application of theoretical design approaches such as Design Thinking. This research aims to develop a Figma-based POS prototype by applying five stages of Design Thinking: Empathize, Define, Ideate, Prototype, and Test, to ensure user-centered problem-solving and iterative design improvement. Through this approach, the study resulted in an intuitive and efficient POS prototype, addressing challenges identified in previous studies, such as limitations in user engagement and lack of iterative validation.
Co-Authors -, shella Banjarnahor, Jepri Barus, Ertina Sabarita Jonathan, Calvin Kandayu, Raka Leonardi, Rio Maulana, Malik Oloan Sihombing, Oloan Ronovan, Kevin Almando Salim, Stanley Siahaan, Mikael Silaban, Wilfrida Silalahi, Naomi Cristin Br Sinaga, Wilson Sutrisno - Winata, Jaspin Yonata Laia