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All Journal Jurnal Informatika dCartesian: Jurnal Matematika dan Aplikasi Jurnal Simetris Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Informatika dan Teknik Elektro Terapan SMATIKA Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal EMT KITA JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Syntax Literate: Jurnal Ilmiah Indonesia JUTEI (Jurnal Terapan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal ULTIMA Computing J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) ComTech: Computer, Mathematics and Engineering Applications Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) Aiti: Jurnal Teknologi Informasi Jurnal Teknologi Informatika dan Komputer IJECS: Indonesian Journal of Empowerment and Community Services J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Ekonomi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Malcom: Indonesian Journal of Machine Learning and Computer Science STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Magdalena Ariance Ineke Pakereng
Universitas Kristen Satya Wacana
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Pengamanan Data Pasien Di UPT. Puskesmas Pujon Kalimantan Tengah Menggunakan Kriptografi Super Enkripsi Falensky, Lee Valdho; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.484

Abstract

Along with the development of information and communication technology nowaday, data security in exchanging information is increasingly important. One technique that can be used to secure the data is super encryption cryptography. Super encryption is a cryptographic technique that combines two or more algorithms. In this research, the encryption decryption process data text of patient biodata of Technical Implementation Unit Pujon Health Center Central Kalimantan was conducted using three cryptography, namely Columnar Transposition, Vigenere Cipher and Monoalphabetic. The result of this research is that the super encryption that has been built can encode (encrypt) and return (decrypt) messages in text. data text of patient biodata of Technical Implementation Unit Pujon Health Center Central Kalimantan tested, before decryption encryption and after decryption encryption did not change the number of characters. The number of characters does not affect the speed of the process because the number of characters used can produce the same processing speed
Penerapan Finite State Automata Pada Transaksi Via Mobile Banking (Aplikasi BRImo) Talahaturuson, Januar C.; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.599

Abstract

The purpose of this study is the application of Finite State Automata on the BRImo mobile banking application. The result of this study is a simulation of the mobile banking application on the BRImo application related to the application of Finite State Automata which is used in the transaction process via the BRImo mobile banking application. The results show that Finite State Automata can be used as the basic logic to process the BRImo application mobile banking transaction which divides each system into state forms.
Penerapan K-Means Clustering Pada Data Mahasiswa Fakultas Interdisiplin Program Studi D4 Destinasi Pariwisata Untuk Menentukan Strategi Promosi Pattipeilohy, Rioldy Leonard; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.595

Abstract

The research was conducted to see the trend of supply of students studying at the Interdisciplinary Faculty, Tourism Destination D4 Study Program. The algorithm used in the student supply process is K-means. Data processing with the K-means algorithm helps extract information and knowledge from student data in the Interdisciplinary Faculty, D4 Tourism Destination Study Program. By using data mining, stakeholders in the Interdisciplinary Faculty, D4 Tourism Destination Study Program, can take strategic steps in the screening process in provinces that are indicated to supply students. The K-means algorithm facilitates the process of data analysis and grouping of student data for 4 years. The purpose of this research is to provide an accurate and strategic picture of the provinces that can have a significant impact on the supply of students each year. The results showed that the largest supply of students came from Central Java and the smallest from Bangka Belitung, West Sulawesi, Banten, East Kalimantan, West Papua, Bengkulu and Riau, so promotion strategies need to be improved in areas with the smallest student supply.
Implementasi Algoritma Genetika Untuk Penjadwalan Sekolah (Studi Kasus: SMP Negeri 2 Wonosegoro) Puspitasari, Pipit; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.600

Abstract

The development of increasingly advanced technology can help in the work, so that it can be done more quickly and easily. One of them is scheduling subjects using genetic algorithms. Genetic algorithm is a technique to find the best solution from several solutions so that it gets the best results according to the stopping criteria if it has done 10 experiments and reached 100 generations. This study uses teacher data, subject data, and time. The results of the study provide a list of optimal schedules with the highest fitness score of 1, where teachers do not have teaching hours at the same time. The system can assist in solving existing problems, which can process data to carry out the scheduling process.
Implementasi Super Enkripsi Menggunakan Metode Rail Fence Cipher dan Metode Caesar Cipher Pada Data Pasien Klinik Eka Karigas Fernando, Fery; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.486

Abstract

Data security is considered very important in nowadays information technology era to minimize data theft. To achieve data security, an encoding process for the data is needed. The encryption process can use a super encryption scheme by combining two or more cryptographic techniques to provide double security. In this research intend to implement the Rail Fence Cipher and Caesar Cipher cryptographic algorithms by using a super encryption scheme on patient data at the Eka Karigas Clinic. The combination of these two cryptographic algorithms is able to provide security by using encryption techniques on patient data at the Eka Karigas Clinic and returning it using a decryption technique to its original form so as not to cause data integrity loss.
Penerapan Metode K-Means Clustering Untuk Analisis Potensi Lahan Pangan Pada Provinsi Kalimantan Selatan Harjono, Rhaka Pradena; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.596

Abstract

National food needs are increasing along with the current population of 237 million people with growth that continues to increase every year, so it needs to be balanced with the provision of sufficient agricultural land resources. The application of the K-Means in the grouping of potential agricultural land in South Kalimantan Province, with the aim of obtaining groups of potential land data. By using the K-means clustering algorithm, the data is divided into 3 clusters, namely cluster 0 with a low potential of 6 districts, cluster 1 with a medium potential of 5 districts, and cluster 2 with a high potential of 2 districts.
Analisis Data Nilai Siswa Kelas 8 Berbasis Nilai Pengetahuan Untuk Menentukan Siswa Berprestasi dengan K-Means Clustering (Kasus SMP Negeri 4 Salatiga) Saputra, Denny Agusto; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.672

Abstract

This study aims to analyze data on grade 8 students who excel at SMP Negeri 4 Salatiga using the K-Means Clustering method. The purpose of this analysis is to identify student group patterns based on student academic achievement. The data used in this research are grade 8 students' grades from SMP Negeri 4 Salatiga. The K-Means Clustering method is used to divide students into groups that have comfort in academic achievement. The results showed that there were 35 students who received the highest score when presented, the results obtained were 14.5%, while 35 students who received medium scores when presented, the results obtained were 14.5%, and 172 students who obtained the highest scores if presented, the results obtained were 71%, with the lowest score of a total of 242 students.
Perancangan Sistem Informasi Pendataan Pegawai pada Dinas Lingkungan Hidup Salatiga Berbasis Web Menggunakan Framework Laravel Setiawan, Kevin; Pakereng, M A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1097.425 KB) | DOI: 10.30645/j-sakti.v5i2.364

Abstract

The Environmental Office in the City of Salatiga is a government agency which engaged in the environmental sector. The employee data collection system currently used is still manual by recording data of employee with Microsoft Excel afterwards the data will be stored in a form of archive or printed. By using an ancient method this is certainly less effective due to it will take a lot of time and make the data will be lost easily. Therefore, we need a web-based information system to make all easier for officers to collect employee data. In this study a web-based employee data collection of information system was built using a Laravel Framework. The Laravel Framework is used to make a build system convenient to implement and already provides any kind of features such as database migration and integration unit testing support to supply an easiness for the developers to build applications. This study aims to create an employee data collection information system so that it can be used to facilitate the officers to collect the data of employees at the Environmental Office in the City of Salatiga. The result of this study is showed that by using this kind of application, performance of employee can be improved efficiently.
Penentuan Tingkat Pemahaman Mahasiswa dalam Matakuliah Kelas Daring dengan Algoritma C4.5 (Studi Kasus: Mahasiswa/i FTI Angkatan 2019) Tarigan, Aldy Alvharo; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.597

Abstract

The purpose of this study was to classify using the C4.5 algorithm to determine student understanding of online lectures at the SWCU Information Technology Faculty. In carrying out lecture activities where students must conduct online lectures, students are expected to be able to understand all the material provided. Many things affect student understanding in digesting online lecture material. The data was taken from the questionnaire results from the 2019 SWCU Information Technology Faculty student. The five attributes used were the learning atmosphere, learning tools, communication, teaching methods, and networking. The research method used is the C4.5 algorithm which builds a decision tree using RapidMiner software. Based on the results of the study, there were 27 rules  with 18 rules understood rules . In the case of students' level of understanding in online classes, the accuracy rate reaches 70%, which means that students quite understand the courses presented online.
Klasifikasi Anak Berpotensi Putus Sekolah dengan Metode Naïve Bayes Di Kabupaten Manokwari Yoridi, Maria Leonila Yawa; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.700

Abstract

National development is determined by qualified human resources. Education is a universal activity in the life of a human being. To create quality human beings must be equipped with education, both education at school and outside school. The main problem of education in Manokwari Regency, West Papua is that there are still many children who do not continue their education or stop going to school in the middle of their journey. The Naïve Bayes algorithm with Cross Validation operators was used to analyze the data and predict children who could potentially drop out of school. The results showed that the prediction accuracy rate was 70%. The Naïve Bayes method tends to provide accurate results in predicting children who are not likely to drop out of school with a class precision of 88.89%. However, this method has limitations in predicting children who are potentially or very likely to drop out of school, with class precision and class recall being low for the label of 0.00%.
Co-Authors Adam Belo Paembonan Afiyatar Asyer Asyer Afril Caesar Muhammad Hanif Agnes Meilosa Callysta Alvira Karisma Putri Alz Danny Wowor Andeka Rocky Tanaamah Angela Putri Larasati Darakay Anggara, Richardus Sapta Antonius Bintang Timur Aziiz, Anriza Kurnia Bramantya, Samuel Dwi Briandika, Jordan Canavaro, Claudio Christin Ngongoloy, Beststinsi Deni Supimum Jaya Devara Putra Aryasa Dewi, Syarafina Dimara, Indri Dio Yudha Perdana Diva Christalivea Dwayne Jeremy Euagellino Prihanto Dwi Hosanna Bangkalang E.V. Sihombing, Kristina Eirene Claudia Ratmoko Ellen Arnetta Ellen Yumanda Erwien Christianto Evangs Falensky, Lee Valdho Faradisia, Adeline Febriyanti, Monica Dias Federick Jonathan Felik Darmawan Wijaya Felix David Fernando, Fery Ferryan Nur Setyawan Feybiola Agustine Andrea Ompo Geraldie Tanu Saputra Getsemani Salisa Margaretha Harjono, Rhaka Pradena Heinricho Dimas Prasetya Hendrawan Suprayogi Jaya, Deni Supimum Jesajas, Marthen Billy Jessica Christiani Irawan Jonathan Nandika Gustin Juan Andrew Suthendra Julio, Erry Kaferin, Eggia Kevin Alexander Harjanto Kevin Setiawan Klaudius Nikotino P Kristoko Dwi Hartomo Kumbara, Perdana Bagas Tirta Lenda, Julita Veronika Letuna, Noliyanti Ria Mei Irawati Michael, Sean Mochammad Iqbal Tawakal Muhammad Haidar Wijaya Nadya Glorya Najoan Najoan, Nadya Glorya Nanda Choirul Ngantung, Ronaldo Kristoforus Ni Made Grace Advendi Nina Setiyawati Obidje, Bhilton Mesianus Pali'pangan, Prihart Julian Pattipeilohy, Rioldy Leonard Perdana Bagas Tirta Kumbara Prasetya, Ezra Inti Pratama, Leonnyndra Putra Puspitasari, Pipit Putra, Arios Wardana Putra, Oktavian Alle Mahenswa Radithya Airlangga Ramos Somya Ririn Ayu Ardila Rizki, Muhammad Bagus Saghoa, Evifania Chayu Salama, Aditya Santoso, Chrys Nathanael Saputra, Denny Agusto Simamora, Lasriama Agnes E Sindhi Diah Ayu Palupi Sofia Sofia Sonny Endrawan Susanto, Vincent Exelcio Talahaturuson, Januar C. Tarigan, Aldy Alvharo Tobing, Prihantoro Manahan Tolanda, Dominus Alfin Tuah, Oliver Vincent Virgelius Hendrawan Taralandu Wicaksana, Prasetya Wicaksono, Embang Aulia William Chrisnando Ekasaputra Yoridi, Maria Leonila Yawa Yos Richard Beeh Yos Richard Beeh Yosepinus Trinaldo Yoshua Kenny Nugroho Yuliadi, Yusup