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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Mantik Penusa International Journal of Natural Science and Engineering Jurnal Sistem Informasi Kaputama (JSIK) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sains dan Teknologi Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM
Saut Parsaoran Tamba
Universitas Prima Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics Physics Social Sciences

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Android-Based Learning Media for Vocational High School Students Siregar, Bina Jaya; Ndruru, Liberlina; Tamba, Saut Parsaoran
International Journal of Natural Science and Engineering Vol 5, No 2 (2021): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijnse.v5i2.37080

Abstract

Online learning impacts decreasing student interest and learning outcomes, so students need media that can help the learning process. This research aims to produce an android-based learning application for vocational students. This research is classified as developed using the ADDIE model (analysis, design, development, implementation, and evaluation). The subjects involved in this study were two media experts, one teacher, and vocational students. Data collection in the study was carried out using the interview method and distributing questionnaires with an instrument in a product validity test questionnaire. The research data was analyzed using scores from each validator by adding up each score on each indicator and finally providing a valid assessment using the percentage assessment procedure. The study results indicate that the developed learning application media has a high validity score, so developing and teaching vocational high school students. In addition to having a high validity score, the learning application media has increased students' motivation and learning outcomes.
PENERAPAN METODE TOPSIS DALAM PENENTUAN KELAYAKAN CALON PEN ERIMADANA BANTUAN MASYARAKAT MISKIN Mardi Turnip; Intan Susanti Simarmata; Saut Parsaoran Tamba; Delima Sitanggang
JSIK (Jurnal Sistem Informasi Kaputama) Vol 1, No 2 (2017)
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jsik.v1i2.30

Abstract

Bantuan Langsung Tunai (BLT) adalah program bantuan pemerintah berjenis pemberian uang tunai atau beragam bantuan lainnya untuk masyarakat miskin.Untuk mempermudah menyeleksi masyarakat dibutuhkan suatu program aplikasi sistem pengambilan keputusan yang dapat membantu dalam pengambilan suatu keputusan secara cepat, tepat, dan akurat.Dalam melakukan penyeleksian keluarga miskin pada Desa Gelam Sei Serimah sebagian masih menggunakan cara yang bersifat konvensional. Dengan adanya kriteria yang harus dipenuhi serta banyaknya pula keluarga yang harus diseleksi menjadi salah satu hal yang menyulitkan dalam melakukan penyeleksian penentuan keluarga miskin.Untuk itu diperlukan suatu sistem pendukung keputusan yang bisa menjadi keputusan alternatif pendukung dalam menentukan masyarakat yang layak menerima bantuan menggunakan metode TOPSIS.
Pembuatan Cloud Computing sebagai Penyimpanan Alternatif pada Smartphone Saut Parsaoran Tamba; Jepri Banjarnahor; Yonata Laia
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 5, No 1 (2020): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v5i1.2869

Abstract

Saat ini perkembangan teknologi banyak yang mengumbah semua akatifitas yang dilakuka seseorang semua sudah menggunakna komputer dan smartpone. Seperti salah satunya adalah penyimpanan data melalu samrtphone. Tetapi kendalah yang dialami pegguna smartpone adalah penyimpanan data yang tidak mencukupi apalagi file yang berextention jpg, video, Mp3 sangat banyak memakan kapasitas memori. Maka dengan itulah perlu ada sebuah tempat penyimpanan cadangan yang akan di gunakan pengguna smartpone tempat penyimpanannya sudah penuh. Pembuatan cloudcoputing ini berhasil menjadi penyimpandan cadanga bagi pengguna smartpone.
Pemanfaatan Teknologi Berbasis Android Dalam Pencarian Cepat Tempat Wisata Terdekat Pada Kabupaten Karo Jepri Banjarnahor; Saut Parsaoran Tamba; Yonata Laia
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 5, No 1 (2020): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v5i1.2914

Abstract

Pada penelitian ini meciptakan aplikasi pencarian tempat wisata cepat berbasis teknologi, dimana selama ini setiap pengunjung yang baru selalu mengalami kesusalitann untuk mengunjungi setiap tempat wisata yang diinginkan dikarenakan tidak tahu dimana-mana saja tempat objek wisata yang ada pada kabupaten tanah karo. Sesuai dengan urain diatas perlu adanya pengembangan dalam bidang pariwisata. Apliakasi yang akan dirancang berbasis android dan nantinya aplikasi ini akan dapat download pada Handpond masing-masing yang ingin menggunakannya, sehingga setiap wisatawan dapat mengetahui uang yang akan dikeluarkan setelah memilih objek yang akan dikunjungin. Dengan adanya aplikasi ini diharapkan dapat membantu setiap wisatawan dikabupaten tanah karo.
IMPLEMENTATION OF THE RANK ORDER CENTROID (ROC) METHOD TO DETERMINE THE FAVORITE BETTA FISH Saut Parsaoran Tamba; Alvin Purba; Yogga Eka Kusuma; Mang Ayu Santi Vidyastuti; Surya Dharma
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (204.579 KB)

Abstract

Betta fish is one of the most popular fish in Indonesia. Apart from being a beauty, this fish is also often made into a match with one betta fish with another. Fish that are beautiful and can fight have a high selling price to the public. Therefore, it is necessary to make a study that aims to choose a good betta fish so that it becomes a favorite and will become a betta fish with a high selling price. The criteria examined were the color of the fish, the shape of the fins, the shape of the tail, the tie of the fish, the body, the head and the mentality of the fish. The results obtained are betta fish that have an albino color shape, brave and calm mentality, good fin shape, very good tail shape, fish tie with a balanced length, proportional and smooth fish body even though it has a fish head in poor condition (bad). ). It can be concluded that the most important criteria to be assessed are fish color, fish mentality, fin shape, tail shape, fish tie and fish body. The method used in this study is rank order centroid (ROC).
PENGGUNAAN METODE TOPSIS (TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION) UNTUK MENENTUKAN KUALITAS BIJI KOPI TERBAIK BERBASIS ANDROID Saut Parsaoran Tamba; Peni Wulandari; Marcel Hutabarat; Merry Christina; Angreyani Oktavia
Jurnal Mantik Penusa Vol. 3 No. 1,Juni (2019): Manajemen dan Informatika
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (479.377 KB)

Abstract

Kualitas biji kopi sangat dipengaruhi oleh jenis kopi, kualitas panen, lokasi pertanaman, sistem agronomis, metode pengolahan dan sortasi. Karena penanganan pasca panen yang dilakukan masih secara manual, hal ini dilihat dari hasil produksi yang tidak memenuhi standar kualitas biji kopi yang telah di tetapkan sebelumnya. Sistem pendukung keputusan merupakan salah satu cara yang membantu dalam mengambil keputusan dengan menerapkan metode yang tepat. Metode Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) merupakan salah satu metode yang cocok untuk mengambil keputusan, dimana metode Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) dalam pemakaiannya menetapkan alternatif terbaik dari sejumlah alternative berdasarkan kriteria tertentu dimana alternatif terpilih tidak hanya dari memiliki jarak terpendek dari solusi ideal positif, namun juga memiliki jarak terpanjang dari solusi ideal negatif. Sehingga metode TOPSIS tersebut merupakan metode yang tepat untuk diterapkan dalam mengambil keputusan dalam memilih biiji kopi berkualitas. Adapun hasil pengujian penelitian ini diketahui bahwa metode TOPSIS dapat digunakan dalam menentukan mutu biji kopi secara tepat dan baik. Kata Kunci : Sistem Pendukung Keputusan,Android, BijiKopi,Kualitas, Topsis
Analysis of Academic Service Satisfaction Levels From the Perspective FTIK UNPRI Students Use the Method Importance Performance Analysis(IPA) Angga Snidres Girsang; Elida Mardiana Manik; Egi Suranta Bangun; Saut Parsaoran Tamba
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.033 KB)

Abstract

In the field of education, the level of comfort is an important service in activities. Especially students who are studying, lectures will be very enjoyable if the services provided are in line with expectations. In the academic section of the Prima Indonesia University campus, there are still many things that are beyond expectations. Especially in the academic service section, the level of student satisfaction has not been taken into account. Because there are still many students who do not feel that they have good facilities. So this study will test the academic services of the Prima Indonesia University campus. Student realities and expectations can be collected with questionnaire data. Students who are respondents will provide results in the form of a dataset that will be processed using the SPSS version 23 data processing application. The results of data testing will be carried out in the Importance Performance Analysis (IPA) method to get better and detailed results. The use of the IPA method will produce a catesian diagram as a result of the test. So that the results of the dataset are obtained to be used as conclusions in this study. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations.
Pemanfaatan Teknologi Berbasis Mobile Untuk Manajemen Kontrol Nilai Dan Absensi Siswa Pada Mts Al-Ittihadiyah Medan Saut Parsaoran Tamba; Didik Rifaldi Hia; Donny Prayitna; Andina Riandra Tryvaldy
Jurnal Sains dan Teknologi Vol. 2 No. 1 (2020): Sains dan Teknologi
Publisher : CV. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34013/saintek.v2i1.56

Abstract

Madrasah Tsanawiyah (MTs) Al-Ittihadiyah is an educational institution that is equivalent to a Junior High School (SMP)located in the city of Medan, where the current value system and student attendance are not computerized and even mobile. Such studentvalue and attendance systems have weaknesses, among others, a lack of a security system and can cause errors in data processing. For thisreason, in this study a mobile-based student attendance and score application was created to answer the problems faced so far. To achievegood learning achievement, it can be seen from the value and attendance that a student produces from the results of the learning processhe has lived. From the learning process, tests or tests are then carried out and the results will be processed to produce a value, both forcognitive values and affective values. Given the importance of student grades and attendance data, these data need to be managedproperly. For that we need a good information system so that student grades and attendance data are more organized. The system to bebuilt is a mobile technology for student attendance and value control management. With this system, it will be much better than themanual system.
PENERAPAN DATA MINING UNTUK PEMBUATAN PAKET PROMOSI PENJUALAN MENGGUNAKAN KOMBINASI FP-TREE DAN TID-LIST Saut Parsaoran Tamba; Albert William Tan; Yudi Gunawan; Andreas Andreas
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 4 No 2 (2021)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v4i2.309

Abstract

The manual preparation strategy of a promosi package can encounter difficulties in determining the right product to be promosited caused of no sales data analysis and the large size of sales database.The solution to this problem is to apply data mining science to find buying patterns that consumers often make in a collection of sales transactions, so that company can create the right promosi packages to encourage increased sales turnover. The study scanned the sales database obtained from the UCI maching learning repository and intelligent system dataset with 12,224 sales transaction records and 126,898 record of goods sold. Furthermore, the data mining process carries out the process of constructing an FP-Tree tree structure, constructing a conditional FP-Tree and TID List, then extracting a combination of items and calculating support (S), confidence (C) and sorting association rules based on the value of S x C descending, from the highest to the lowest value. The combination of FP-Tree and TID-List algorithms can be used to help formulate promosi package strategies, by analyzing the sales database and finding the most frequently sold combinations of items.
ANALISIS PENERAPAN DATA MINING DALAM PENENTUAN TATA LETAK BARANG MENGGUNAKAN ALGORITMA APRIORI DAN FP-GROWTH Afluqfy Harahap; Ade Luthfi Ramadhan Perangin-Angin; Kisen Kumar; Saut Parsaoran Tamba
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.692

Abstract

Setting the layout of merchandise in each store window greatly affects consumer interest in shopping. To increase self-service sales, a strategy is needed to achieve this, one of which is to systematically arrange the layout of goods on merchandise shelves. The method used for implementing the layout of goods is to compare the performance of the Apriori Algorithm and the FP-Growth Algorithm in the data mining process using the Rapidminer Studio Educational Version 9.10.011 tools to obtain more accurate results. The data sample used is sales data at the Mohare Supermarket, which is tested to understand the association patterns generated by each method. Based on the test results with a minimum support of 20% and a minimum confidence of 70%, the Apriori Algorithm produces 10 rules with a support of 0.32258605 and an accuracy of 12.8%, while the FP-Growth Algorithm produces 78 rules with a support of 2.51612903 with an accuracy of 780%. Thus, the FP-Growth Algorithm can be stated to have a high degree of accuracy in generating association rules when compared to the Apriori Algorithm.
Co-Authors -, Edbert -, Edric Ade Luthfi Ramadhan Perangin-Angin Adilman Reliance Hia Afluqfy Harahap Albert William Tan Alvin Purba Andina Riandra Tryvaldy Andreas Andreas Angga Snidres Girsang Angreyani Oktavia Anita Anita Banjarnahor, Jepri Cristian, Yusticio Damanik, Ruth Tetra Delima Sitanggang, Delima Didik Rifaldi Hia Dimiliu, M Bairaja Donny Prayitna Egi Suranta Bangun Elbert Ghozali Elida Mardiana Manik Feryanto ., Feryanto Intan Susanti Simarmata Josua Silaban Kesuma, Felix Toknady Kisen Kumar Latifah Hanum Malika, Salsa Manalu, Christ Natamaro Anastasius Mang Ayu Santi Vidyastuti Manurung, Onesimus Gust Marcel Hutabarat Mardi Turnip, Mardi Marlince Nababan Matondang, Matius Merry Christina Mohammad Irfan Fahmi Ndruru, Liberlina Palma Juanta Panjaitan, Gracia Laura Pasaribu, Yuni Rumyanti Peni Wulandari Pratama, Duta Puri, Anin Dita Sekar Ricky Gunawan, Ricky Rizky Prayoga Rizky Syahputra Sitompul Rizky, Rahmad Roy F. Hasudungan Malau Santosa, Sofian Ali Sembiring, Cornelia Selvi Dinta Br Siburian, Yosepha Sinambela, Rio Siregar, Bina Jaya Sitanggang, Mario Situmorang, Bimo Christhoper Steven Steven Surya Dharma Valerine, Karen Wibowo, Yonatan Adi Wijaya, Salim William William Windania Purba Yoel Ferdinand Zai Yogga Eka Kusuma Yonata Laia Yudi Gunawan