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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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Penerapan Metode Decision Tree Dalam Menganalisis Traits Kepribadian Neuroticism Pada Dinamika Psikologis Mahasiswa Saghoa, Evifania Chayu; A. Ineke Pakereng, Magdalena
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1248

Abstract

Kepribadian adalah sesuatu yang menggambarkan keunikan seseorang yang membedakan orang tersebut dengan orang lain, dan melalui kepribadian seseorang maka dapat diramal perilaku yang akan ditampilkan orang tersebut dalam menghadapi suatu situasi tertentu. Neuroticism dapat didefinisikan sebagai kepemilikan akan emosi negatif seperti cemas, khawatir, rasa tidak aman, dan labil. Penelitian ini bertujuan untuk menganalisis salah satu dari 5 dimensi Traits Personality, yaitu neuroticism menggunakan salah satu metode Machine Learning yaitu Decision Tree. Subjek penelitian ini adalah 86 Mahasiswa. Hasil penelitian menunjukkan adanya mahasiswa Neuroticism dengan persentase ketepatan hasilnya pada RapidMiner sebesar: 47,14% (Anxiety), 64,29% (Anger), 47,14% (Depression), dan 66,90% (Vulnerability).Kata Kunci: Big Five Personality; Neuroticism; Decision tree
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 | 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%.
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.
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