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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Faktor Exacta Conference on Innovation and Application of Science and Technology (CIASTECH) Petir Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Telematika Progresif: Jurnal Ilmiah Komputer Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Computer Science and Information Technologies Scientific Student Journal for Information, Technology and Science Jurnal Buana Pengabdian Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Scientific Journal of Informatics

Siregar, Amril Mutoi

Teknik Informatika, Universitas Buana Perjuangan Karawang

Author-ID : 1561406

Religion Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Title

KLASIFIKASI ALGORITMA TF DAN NEUTRAL NETWORK DALAM SENTIMEN ANALISIS Amril Mutoi Siregar
Jurnal Accounting Information System (AIMS) Vol. 1 No. 2 (2018)
Publisher : Universitas Ma'soem

Nowadays social media has become one of the tools to express idea or opinion. They are more active expressing it on social media instead of speaking directly. Twitter is the most popular among them to express idea, also share news, picture, music and etc. Twitter users are increasing significantly each year as the result the information grows in same way. Due too much information flow, people get difficulties to make sure or clarify the news. For example, Looking for the information about a figure who will participate in a Pilkada. There are many researchers analyze subjectively and haven’t given the maximum result yet. This research is trying to clarify information and divided them into positive, negative and neutral information. It is using TF algorithm and Neutral Network as the tools. The dataset is taken from a figure’ twitter which is participate in Pilkada. And the result shows that accuracy 66.92%, positive precision 67.80%, negative precision 64.29%, neutral precision 73.33%, and positive recall 80%, negative recall 70%, neutral recall 36.67%.

PENGELOMPOKAN BIDANG LAJU PERTUMBUHAN EKONOMI INDONESIA MENGGUNAKAN ALGORITMA K-MEANS Amril Mutoi Siregar
Jurnal Accounting Information System (AIMS) Vol. 2 No. 2 (2019)
Publisher : Universitas Ma'soem

Indonesian is one of countries with economic development in the very good category. Economic growth is seen from several supporting fields, Indonesia has a lot of excess natural resources, which can support the economy compared to other countries. But the problem faced is the lack of maximum management of the economy, Indonesia has economic support categorized into 17 fields. Among the fields not in the same development because they are still stuck in one area, it turns out that Indonesia has all the potential to improve all fields. To increase the growth of all fields, the government must have correct, accurate and relevant data to group these fields. In this study using the Decision Tree algorithm to classify fields supporting economic growth automatically. The grouping results into three classes, namely high, medium, low. After the research was conducted the results were that the high category group was Mining and Excavation, Construction, transportation and warehousing, Provosion of accommodation and food Drinking, Information and Communication, Financial Services and Insurance, Real Estate, Educational Services, Health Services and Social Activities, medium groups were Procurement of Electricity and Gas, Company Services and low-income groups are in the fields of Agriculture, Forestry, and Fisheries, Processing Industry, water supply , waste management, Waste and Recycling, large Trade and retail, car and motorcycle repair, Government Administration, Defense and Compulsory Social Security, Other Services.

Perbandingan Algoritme Klasifikasi Untuk Prediksi Cuaca Amril Mutoi Siregar; Sutan Faisal; Yana Cahyana; Bayu Priyatna
Jurnal Accounting Information System (AIMS) Vol. 3 No. 1 (2020)
Publisher : Universitas Ma'soem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v3i1.92

Weather conditions is an air condition in a place with a relatively short time, which is expressed by the value of parameters such as temperature, wind speed, pressure, rainfall, which is another atmospheric phenomenon as the main component. Human activities can be influenced by weather conditions, such as transportation, agriculture, plantation, construction or even sports. Therefore, for determining the weather, getting weather information needs to be made so that it can be utilized by the community. Problems that arise how to make weather predictions automatically so that it can be done by everyone. In this study proposed several algorithms Navie Bayes, Decision Tree, Random Forest to calculate the opportunities of one class from each of the existing group attributes and determine which class is the most optimal, meaning that grouping can be done based on the categories that users enter in the application. The prediction system has been made to obtain an accuracy rate of Navie Bayes of 77.22% with a standard deviation of 29%, a Decision Tree accuracy rate of 79.46% with a standard deviation of 15%, a random forest accuracy rate of 82.38% with a standard deviation of 43%.

Co-Authors Abdul Mufti Ahmad Fauzi Ahmad Fauzi Alma Hidayanti Andri Juliyanto Anton Romadoni Junior Baihaqi, Kiki Ahmad Deden Wahiddin Dwi Sulistya Kusumaningrum Dwi Sulistya Kusumaningrum Dwi Sulistya Kusumaningrum Kusumaningrum Dwi Vina Wijaya Farkhina Dwi Utari Fitri Nur Masruriyah, Anis Hanny Hikmayanti Hanny Hikmayanti H Hanny Hikmayanti Handayani Indi Nurul Hassanah Indra, Jamaludin Jaman, Jajam Haerul Juwita, Ayu Ratna Lestari, Santi Arum Puspita Lutfiah Adeliana Maulana Abdur Rofik Mudzakir, Tohirin Al Mulya Cahya Ramadanty Murniasih Nahrowi Nahrowi Nahrowi Nofita Sari Nursela Basuni Permana, Tedi Priyatna, Bayu Rahmad Nahar Siregar Rizqi Fahrozi Salsa Desmalia Santi Arum Puspita Lestari Sekar Wuni Sinta Candra Dewi Sinung Suakanto SITI NURJANAH Siti Silvia Arifin Slamet Hermawan Sony Hartono Wijaya Sony Hartono Wijaya Sutan Faisal Sutan Faisal Sutan Faisal Tatang Rohana Tatang Rohana Tia Astiyah Hasan Tjong Wan Sen Tjong Wan Sen Tohirin Al Mudzakir Tohirin Al Mudzakir Tria Pratiwi Sutriyani Tukino Tukino Vira Bunga Tiara Wilda Amalia Y Aris Purwanto Yana Cahyana Yana Cahyana Cahyana Yholanda Maldini Yogi Firman Alfiansyah Yusuf Khoiruddin

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