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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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Analisis Penyaluran Produk Prekursor di PT Tri Sapta Jaya Palangka Raya pada Wilayah Kalimantan Tengah Kaferin, Eggia; 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.v6i2.483

Abstract

This research aims to examine the distribution of precursor products in Central Kalimantan. The method of this research is quantitative. This research used a descriptive analysis approach. Technique of data collection is used with documentation. The data analysis used a quantitative descriptive, which aims to describe or depict an object through data collected that have been arranged into simple form. The results of this research reveals that the distribution of the precursor products in 14 regions is normal which helps the firm to distribute the products directly towards the precursor in medics. The highest area or region is Palangka Raya with 4267.5 products and the lowest is Pulang Pisau with 3 products in a period of eight months. The direct distribution applied as the firm's effort to optimize the available resources to satisfy the consumer and retailer in Central Kalimantan
Perancangan Website E-commerce Soemardjan Florist Menggunakan Framework Laravel Anggara, Richardus Sapta; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.422

Abstract

Soemardjan Florist is one of the biggest florists in Salatiga, Central Java. Nearly 70% of Soemardjan Florist customers come from outside Salatiga City. Frequent found case is that customers come outside Salatiga but they sent the wreaths to weddings which is located in the Salatiga area. This proves that Soemardjan Florist has the potential to expand the market outside Salatiga city. In this research, the Soemardjan Florist website was developed to expand the Soemardjan Florist business. The website is built in PHP programming language using Laravel 5.5 framework. User test results indicate that Soemardjan Florist website can useful as a promotional media and online store as it should.
Analisis Tingkat Kepuasan Masyarakat Terhadap Layanan Pemberdayaan Potensi Sumber Kesejahteraan Sosial Rizki, Muhammad Bagus; 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.v6i2.488

Abstract

Along with the increasing number of people who need social assistance, companies engaged in their fields are required to improve the quality of their services, one of which is the Semarang Regency Social Service. Determination of the level of service satisfaction of the Semarang Regency Social Service is done by distributing questionnaires to the public who visit or use the Semarang Regency Social Service's service facilities. The results of the questionnaire are then described in the Cartesian Importance-Performance Analysis (IPA) diagram and the Customer Satisfaction Index (CSI) value which shows overall user satisfaction. The Cartesian IPA diagram shows that the attributes of aspects and requirements that must be met, the time given, the amount of the tariff, to the quality and service facilities provided by the community at the Semarang Regency Social Service. The overall level of service satisfaction is indicated by a CSI value of 83.59, which means that users or the public are very satisfied with the services provided by the Semarang Regency Social Service
Penerapan Data Mining Untuk Prediksi Jumlah Total Porduksi Bakpao Pada PT. Estetika Tata Tiara Menggunakan Algoritma Regresi Linier Berganda Wicaksana, Prasetya; 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.v7i1.598

Abstract

Production objective planning is the process of identifying the product to be produced, the required quantity, the completion deadline, and what sources will be needed. The research objective is to determine the total production of Bakpao PT. Estetika Tata Tiara uses multiple linear regression algorithm. At this stage, the data mining technique uses multiple linear regression algorithms. This research was conducted at PT. Aesthetics of Tata Tiara which is a bakpao production company. The results show that the regression equation obtained from the results of multiple linear regression analysis is for the prediction of Bakpao in April 2022 as follows: Y = 473.531 + 0.56 X1 + 0.043 X2. After the analysis, it can be concluded that the variables X1 and X1 affect the prediction of the amount of Bakpao production in 2022. The relationship between sales (X1) and stock (X2), and Bakpao production has a strong positive and unidirectional relationship.
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.
Analisis Sentimen Pemilihan Presiden dan Wakil Presiden Tahun 2024 Di Twitter Menggunakan Metode Klasifikasi Naive Bayes Obidje, Bhilton Mesianus; Pakereng, Magdalena A. Ineke
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5836

Abstract

Pemilihan Umum (PEMILU) dalam sejarah negara Indonesia telah dilaksanakan beberapa kali, namun pemilihan umum yang dilakukan secara langsung oleh masyarakat Indonesia baru pertama kali dimulai pada tahun 2004. PEMILU yang telah diselanggarakan pada tahun 2024 adalah proses untuk mewujudkan demokrasi di Indonesia. Oleh karena itu penelitian ini bertujuan untuk menganalisis sentimen masyarakat Indonesia tentang calon presiden yang  dipilih pada PEMILU tahun 2024. Untuk menganalisis sentimen masyarakat pada penelitian ini, akan menggunakan metode klasifikais Naive Bayes untuk dikelompokkan menjadi sentimen positif, netral dan negatif. Oleh karena itu hasil penelitian ini adalah pengelompokkan sentimen masyarakat tentang PEMILU 2024 dan menarik kesimpulan dari pengelompokkan tersebut. Analisis sentimen yang didapatkan menggunakan metode Naive Bayes pada Calon Presiden (Capres) Anies Baswedan mendapatkan sentimen positif 58, netral 20, negatif 19 dengan accuracy = 0,75 dan missclass = 0,25, sedangkan pada capres Prabowo Subianto mendapatkan sentimen positif 53, netral 24, negatif 21 dengan accuracy = 0,5 dan missclass = 0,5 dan pada capres Ganjar Pranowo mendapatkan sentimen positif 77, netral 14, negatif 9 dengan accuracy = 0,8 dan missclass = 0,2.
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