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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Mantik JURNAL MAHAJANA INFORMASI TRIDARMA: Pengabdian Kepada Masyarakat (PkM) INFOKUM Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Sistem Informasi dan Teknologi Jaringan Jurnal Media Informatika Jurnal Info Sains : Informatika dan Sains DISTANCE: Journal of Data Science, Technology, and Computer Science Jurnal Mandiri IT Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Ilmu Komputer Ruru
Simangunsong, Agustina
Informatics Engineering Study Program, STMIK Pelita Nusantara Medan
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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Pkm Pemanfaatan Aplikasi Point Of Sale (Pos) Pada Pos Coffee Berbasis Digital Agustina Simangunsong; Adli Abdillah Nababan
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 3 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v4i3.1352

Abstract

At the moment, Pos Coffee still uses a conventional system for food or drink orders, where servers use pen and paper to jot down customer orders. This service system has become less effective and efficient due to an increasing number of customers. Additionally, the pantry area is not well-organized regarding the management of food ordering queues, making it difficult to process orders efficiently. Furthermore, daily and monthly financial reporting processes are still done conventionally, leading to numerous errors, duplicated data, difficulty in searching and storing the growing volume of data, and frequent delays in providing accountability reports to superiors. Based on these issues, there is a need to develop a digital-based application called Point Of Sale (POS). Point of Sale (POS) is a system that facilitates transactions, including the use of cash register machines connected to cloud computing, ensuring that all store transactions are well recorded. The purpose of this community service at Pos Coffee is to train staff and employees of Kopikuni to effectively and correctly implement the digital-based POS application, especially within the environment of Pos Coffee.
Pelatihan Penggunaan Aplikasi Mendeley Bagi Mahasiswa Untuk Membuat Daftar Pustaka R. Mahdalena Simanjorang; Agustina Simangunsong
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 3 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v4i3.1380

Abstract

In the world of education there are several components needed so that existing activities can run well. Namely by making scientific work both lecturers and students. Scientific work that is made must of course be in accordance with established rules so that it is recognized by the academic section which can later be used by other people who cite data such as students who will carry out the preparation of a thesis or people who want to adopt a policy or rule in the development of an institution. their company. So to make a scientific paper must pay attention to the rules in writing. For example, making scientific work must use good and correct language so that it can be more easily understood by readers or people who will cite the scientific work. In fact, there are many obstacles in the making of a scientific paper, namely the writing of each paragraph that is not continuous, the wrong way to do citations of other people's work and not being able to make references to the scientific work. The method used is lectures, and direct practice of operating Mendeley applications. The purpose of carrying out this Community Service activity is to help students understand writing references properly according to predetermined rules and be able to make citations correctly using the Mendeley application.
Penerapan Metode Analytical Hierarchi Process (AHP) Dalam Menentukan Tingkat Kerentanan Stunting (Gizi Buruk) Desa Di Kecamatan Juhar Juliansen Saragih; Agustina Simangunsong
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 5 (2021): Oktober 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i5.3389

Abstract

In February, measurements of weight and height of children born in 2016-2020 were carried out in 25 villages. The data collection conducted by Juhar District officers was only based on height (TB) and weight (BB), these two criteria did not represent the determination of a child susceptible to stunting considering several other causes of stunting. Determination of the level of vulnerability to stunting can be studied using a Decision Support System with the Analytical Hierarchy Process (AHP) method. , and parenting styles. presents previous research in a straightforward and comprehensive manner. The formulation of the problem in this study applies the Analytical Hierarchy Process (AHP) method in determining the level of stunting vulnerability (malnutrition) in Juhar District. How big is the result of applying the AHP method in determining the level of vulnerability to stunting (malnutrition) in Juhar District. designing and building a decision system using the Analytical Hierarchy Process (AHP) method in determining the level of stunting vulnerability (malnutrition) in the village of Juhar District based on web programming.
Sistem Pendukung Keputusan Dalam Menentukan Penerima Bantuan Langsung Tunai Dengan Metode Profile Matching Pada Kantor Kepala Desa Narigunung 1 Adi Ebenezer Silitonga; Agustina Simangunsong
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 3 (2020): Desember 2020
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v3i3.2483

Abstract

The government provides direct cash assistance for the community, which originates from the Village Fund or called BLT-Dana Desa. The criteria for BLT recipients were very clear in writing. From the data collected, the aspects and criteria for BLT recipients were determined. The Profile Matching method or profile matching is applied to the calculation of the assessment gap in decision makers. Weighting in the Profile Matching method is a definite value that is firm on certain values because the values are members of a crisp set. In a strict set, the membership of an element in the set is expressly stated whether the object is a member of the set or not by using the characteristic function. Identification of problems in community research wants transparency and equality of BLT recipients for residents who do not earn. Different criteria emerged from the opinions of villagers in determining BLT recipients. Implementation of data collection and distribution of BLT-Village Funds that are effective, efficient, and right on target. The determination of recipients of BLT funds was supported by an assessment of Aspects and Criteria. The application design uses the PHP programming language and Xampp database management by applying the profile matching method.
PERBANDINGAN ALGORITMA C5.0 DAN REGRESI LINEAR UNTUK PREDIKSI KELULUSAN MAHASISWA Petti Sijabat; Agustina Simangunsong
Jurnal Ilmu Komputer Ruru Vol. 1 No. 2 (2024): Edisi Juli
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Technological advances supported by human knowledge have a very good influence on data and information storage technology, including in predicting student graduation (Graduation Prediction) on time, by applying several existing algorithms. In this study, researchers used the C5.0 Algorithm and Linear Regression. The concept of the research is to compare two algorithms, namely C5.0 and Linear Regression to the case of graduating students on time. Based on the length of study, students who graduated correctly amounted to 651 (91%) with a male gender of 427 students and a female gender of 224 students while those who did not pass (late) correctly amounted to 64 (9%) with a male gender totaling 53 students and female gender totaling 11 students from 2017-2020. Comparison results The R2 score from the C5.0 algorithm reached 96.85% (training) and 93.72% (testing) while the R2 score from the Linear Regression reached 33.31% (training) and 40.30% (testing).
Analisis Dan Deteksi Burnout Pada Kalangan Anak Muda Dengan Algoritma Naïve Bayes Agustina Simangunsong; R. Mahdalena Simanjorang; Penda Sudarto Hasugian; Fitri Amalia; Putri Khairunnisa
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 5 No. 1 (2026): EDISI JANUARI 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v5i1.12473

Abstract

Burnout pada anak muda menjadi fenomena yang semakin mengkhawatirkan seiring meningkatnya tekanan akademik, tuntutan pekerjaan, serta intensitas aktivitas digital di era modern. Kondisi ini ditandai oleh kelelahan emosional, depersonalisasi, dan menurunnya pencapaian pribadi yang berdampak langsung pada kesehatan mental dan performa individu. Penelitian ini bertujuan untuk menganalisis tingkat burnout pada kalangan anak muda serta membangun model deteksi otomatis menggunakan algoritma Naïve Bayes. Sebanyak 200 responden berusia 18–30 tahun dilibatkan melalui kuesioner daring berbasis skala Likert, dengan lima variabel utama yaitu Emotional Exhaustion (EE), Depersonalization (DP), Personal Accomplishment (PA), Stres Akademik/Pekerjaan (SA), dan Kualitas Tidur (QT). Proses analisis dilakukan melalui tahapan KDD yang meliputi data cleaning, transformation, data mining, dan evaluation menggunakan metode klasifikasi Naïve Bayes. Hasil penelitian menunjukkan bahwa 55% responden berada pada kategori burnout. Variabel QT Buruk, SA Tinggi, EE Tinggi, DP Tinggi, dan PA Rendah memiliki pengaruh paling signifikan terhadap terbentuknya burnout. Nilai likelihood kelas burnout sebesar 0,08305, jauh lebih tinggi dibandingkan kelas tidak burnout sebesar 0,0000733, sehingga kasus uji diklasifikasikan sebagai burnout. Temuan ini menunjukkan bahwa algoritma Naïve Bayes efektif digunakan sebagai alat deteksi dini burnout pada anak muda serta berpotensi mendukung pengembangan sistem monitoring kesehatan mental.
Pengembangan Sistem Pakar Untuk Rekomendasi Pupuk dan Irigasi Berdasarkan Analisis Kesuburan Tanah R. Mahdalena Simanjorang; Agustina Simangunsong; Amran Sitohang; Josua Lumban Tobing; Sartika Simanjorang
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 5 No. 1 (2026): EDISI JANUARI 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v5i1.12474

Abstract

Saat ini bidang pertanian seringkali diperhadapkan dengan tantangan terhadap peningkatan produktivitas secara efektif dengan tujuan agar tetap terjaga kualitas dan keberlanjutan lingkungan. Adapun faktor utama yang mempengaruhi hasil pertanian adalah terkait dengan kesuburan tanah dan ketersediaan air. Adapun permasalahan yang sering dihadapi para petani adalah penggunaan pupuk dan sistem irigasi yang tidak tepat sehingga menyebabkan degradasi tanah, pencemaran lingkungan, serta peningkatan biaya operasional. Sehingga diperlukan sebuah solusi yang tepat yang dapat memberikan rekomendasi optimal terkait pemupukan dan irigasi berdasarkan analisis kesuburan tanah.Urgensi dari penelitian ini adalah menjadi hal yang sangat penting dikarenakan pada penelitian ini dibuat dengan tujuan mengembangkan sistem pakar yang mampu memberikan rekomendasi pupuk dan irigasi berdasarkan parameter kesuburan tanah, seperti pH, kandungan nitrogen, fosfor, kalium, dan kelembaban tanah. Sistem ini akan menggunakan metode logika fuzzy untuk menangani ketidakpastian dalam data tanah serta basis aturan (rule-based system) yang disusun berdasarkan pengetahuan pakar dan data penelitian sebelumnya. Metode penelitian meliputi tahapan pengumpulan data kesuburan tanah, wawancara dengan pakar pertanian, perancangan sistem pakar menggunakan teknik fuzzy inference system (FIS), serta pengujian dan validasi sistem terhadap hasil rekomendasi yang diberikan. Pengujian akan dilakukan dengan membandingkan rekomendasi sistem terhadap rekomendasi pakar secara manual guna mengukur akurasi dan efektivitas sistem. Luaran yang ditargetkan dari penelitian ini meliputi prototype sistem pakar berbasis web, Dengan adanya sistem ini, diharapkan efisiensi penggunaan pupuk dan air meningkat, biaya produksi berkurang, serta produktivitas pertanian dapat ditingkatkan secara berkelanjutan.
Prediksi Kelayakan Panen Kelapa Sawit Menggunakan Naïve Bayes Nuraisana; Agustina Simangunsong; Penda Sudarto Hasugian; Muhammad Rizal Muhaimin; Akbar Maulana
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 5 No. 1 (2026): EDISI JANUARI 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v5i1.12481

Abstract

Kelapa sawit merupakan komoditas unggulan nasional yang berperan penting dalam sektor perkebunan dan ekonomi Indonesia. Namun, hasil panen sering berfluktuasi akibat faktor iklim, pupuk, dan usia tanaman, sementara penentuan kelayakan panen masih dilakukan secara manual dan subjektif. Penelitian ini bertujuan untuk membangun sistem prediksi kelayakan panen kelapa sawit dengan Naïve Bayes guna membantu pengambilan keputusan yang lebih objektif dan efisien. Data yang digunakan meliputi curah hujan, suhu, kelembapan, usia tanaman, dan penggunaan pupuk. Metode Naïve Bayes dipilih karena kemampuannya dalam melakukan klasifikasi cepat dan akurat berdasarkan probabilitas. Hasil penelitian diharapkan menghasilkan sistem pendukung keputusan yang mampu memberikan prediksi kelayakan panen secara akurat, sehingga dapat meningkatkan efisiensi produksi dan produktivitas perkebunan kelapa sawit.
Co-Authors Adi Ebenezer Silitonga Adli Abdillah Nababan Akbar Maulana Alwi Syach Awaluddin Amran Sitohang Andre Edlin Siahaan Britoloni Emanuel Waruwu cepilian erina Dedi Saputra Sihombing Dinda Vionica Zahro Endra A P Marpaung Endra A.P Marpaung Evi Ningsih Ana Giawa Fitri Amalia Hasanul Fahmi Hasanul Fahmi Hasugian, Penda Sudarto Ilwanda Amer Purba Jaka Edison Simangunsong Jijon Raphita Sagala Josua Lumban Tobing Juliansen Saragih Lamtiar Purba Marpaung, Preddy Misael F Siahaan Muhammad Bayu Habi Yasa Muhammad Iqbal Muhammad Rizal Muhaimin Novia Vivid Veronika Pasaribu Nuraisana Nuraisana Nurliana Br Saragih Octavia Kartika Br. Sembiring Petti Indrayati Petti Indrayati Petti Indrayati Sijabat Putri Khairunnisa R. Magdalena Simanjorang R. Mahdalena Simanjorang Ramli S. Siburian Ravindra Jain Barus Relima Mahdalena Simanjorang Rio Junaidi Panjaitan Sartika Simanjorang Selvia Katarina Waruwu Sindi Klodia Sri Rezeki Marbun Tri Benny Febrian Wildha Tilawatil Aulya Purba