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All Journal Jurnal Informatika Kaputama (JIK) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Nasional Teknologi Komputer International Journal of Informatics, Economics, Management and Science Journal of Mathematics and Technology (MATECH) Pascal: Journal of Computer Science and Informatics
MANURUNG, HOTLER
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Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation

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PENGELOMPOKAN UMKM KOTA BINJAI MENGGUNAKAN METODE CLUSTERING K-MEANS UNTUK MENGIDENTIFIKASI POLA PERKEMBANGAN BISNIS Manurung, Hotler
Jurnal Informatika Kaputama (JIK) Vol 8 No 2 (2024): Volume 8, Nomor 2, Juli 2024
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v8i2.844

Abstract

Penelitian ini bertujuan untuk mengidentifikasi pola perkembangan bisnis UMKM di Kota Binjai menggunakan metode clustering dengan algoritma k-means. Dinas Koperasi dan UMKM Kota Binjai berperan penting dalam mendata dan meningkatkan pendapatan usaha masyarakat melalui fasilitasi permodalan, pelatihan, dan pembinaan. Mengingat banyaknya UMKM di Kota Binjai, diperlukan solusi efektif untuk mengelola dan menganalisis data perkembangan bisnis tersebut. Data UMKM yang digunakan dalam penelitian ini terdiri dari variabel jenis usaha, tipe penjualan, dan pola perkembangan. Hasil clustering menunjukkan tiga kelompok utama: bisnis fashion dengan pola perkembangan sudah berkembang, bisnis kuliner dengan pola perkembangan sangat berkembang, dan bisnis kuliner dengan pola perkembangan kurang berkembang. Temuan ini memberikan wawasan penting bagi UMKM dan Dinas Koperasi dalam mengoptimalkan strategi promosi serta pemasaran yang efektif dan efisien. Penelitian ini diharapkan dapat membantu meningkatkan pertumbuhan dan perubahan bisnis UMKM di Kota Binjai.
THE DESIGN OF GAS STATION TERMINAL SEARCH APPLICATION BY APPLYING THE METHOD OF TRAVELING SALESMAN PROBLEM Dimastara, Rafa; Manurung, Hotler; Sembiring, Hermansyah
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.169

Abstract

The increasing need for transportation is unavoidable. Moreover, the ability of the community to obtain or use transportation is increasing due to the increasing income of the community. The number of means of transportation makes the density of existing highways so that sometimes the streets often run out of fuel because they do not know the location of the nearest fuel filling. General fuel filling station (SPBU) is a distribution institution built on a plot of land and has a gas station facility with a design, design, and technical specifications that have been approved by Pertamina. Gas stations are used to distribute and market fuel and or other products using Pertamina trademarks and can be used for NFR (Non Fuel Retail) business management. If the transportation equipment runs out of fuel, of course, immediately look for the nearest gas station from the location of the rider. If the distance is far from the location, he will push his vehicle until he finds the Pertamina gas station signboard, the farther the distance the location, the vehicle will definitely be tired to push it. Seeing from the many means of Transportation circulating on the streets, the author wants to create a system application that can find out the location of the nearest Pertamina gas station using the application. Users who use the application just need to run the application and search for the nearest Pertamina gas station from its location to be faster in the process of searching for Pertamina gas stations to refuel. So that users who will run out of fuel can go directly to the location to refuel at the nearest Pertamina gas station from their location.
UTILIZATION OF THE CERTAINTY FACTOR METHOD TO DIAGNOSE EYE DISEASES abdul ghani, mukti; Manurung, Hotler; Ramadani, Suci
Jurnal Nasional Teknologi Komputer Vol 3 No 4 (2023): Volume 3 Nomor 4 Oktober 2023
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v3i4.104

Abstract

In Indonesia, the number of people with eye disease increases every year. The blindness rate of the population in Indonesia is around 1.2% of the total population. People with this eye disease have problems ranging from mild to blind spots. The main causes of blindness are cataracts, corneal disorders, glaucoma, refractive errors, dry eyes, retinal disorders and nutritional disorders. Conjunctivitis, macular degeneration, diabetic retinopathy and other diseases that affect the eyes. As vision, it is necessary to keep the function of the eye from decreasing. As a person ages, the accommodation ability of the eye also decreases. The causes include sitting too long in front of a computer or staring at a cellphone screen for too long, reading a book at a distance that is not within a normal healthy distance, or the presence of dirty air and solar radiation.
A Decision Support System for the Selection and Distribution of Superior Durian Seedlings to the Community Using the Decision Tree Method Danisuwara, Ardiya Kansya; Manurung, Hotler; Simanjuntak, Magdalena
Pascal: Journal of Computer Science and Informatics Vol. 2 No. 02 (2025): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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

Abstract

The durian fruit is an agricultural commodity with high economic value and strong demand both domestically and internationally. However, the success rate of durian cultivation in Indonesia remains relatively low, at approximately 30.3%. This is partly due to the limited experience of farmers in managing durian plantations and the absence of an objective system for selecting eligible recipients of superior seedlings. Inaccurate selection of seedling recipients can lead to low productivity, suboptimal fruit quality, and an imbalance between market supply and demand. To address these issues, this study proposes the development of a Decision Support System (DSS) for the selection of superior durian seedling recipients using the Decision Tree algorithm. The study identifies several factors influencing eligibility, including age, land area, land ownership, farming experience, socioeconomic status, number of plants, water availability, membership in farmer groups, regional location, and education level. Data from 300 respondents were collected and processed through several preprocessing stages, including categorical data encoding, numerical data binning, normalization, and the division of training and testing datasets. The Decision Tree model was developed using the Scikit-learn library in the Python programming language, with the Gini index as the splitting criterion. The experimental results indicate that the model achieved an accuracy of 85%, a precision of 90%, and a recall of 95% for the "Eligible" class, demonstrating the system’s effectiveness in accurately identifying qualified recipients. The system was implemented as a GUI-based desktop application using Tkinter, equipped with features for data input, eligibility prediction, recipient data management, and statistical visualization. The implementation of this system is expected to enhance objectivity, efficiency, and accountability in the distribution of superior durian seedlings, thereby contributing to increased productivity among durian farmers and promoting better market equilibrium.
ALGORITMA VIGENERE CIPHER DAN HILL CIPHER DALAM APLIKASI KEAMANAN DATA PADA FILE DOKUMEN Pardede, Akim Manaor Hara; Manurung, Hotler; Filina, Dina
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 1 No. 1 (2017): Volume 1, Nomor 1, Januari 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v1i1.683

Abstract

Perkembangan kriptografi terus berlanjut walaupun algoritma yang terkemuka dan dinilai kompleks sudah mulai bisa dipecahkan. Algoritma- algoritma kriptografi klasik seperti Hill Cipher dan Vigenere Cipher pin memiliki kelemahan akan kriptanalisis. Algoritma hill cipher dan vigenere cipher merupakan salah satu metode dari beberapa metode yang digunakan untuk melakukan kerahasian data, hill cipher adalah algoritma keamanan data menggunakan perhitungan perkalian matriks, sedangkan vigenere cipher adalah algoritma yang melakukan enkripsi sekaligus sebuah teks yang terdiri dari beberapa huruf. Jika kedua algoritma diatas dikombinasikan dalam sebuah aplikasi keamanan data, maka akan lebih sulit memecahkan sandinya bila dibandingkan dengan hanya menggunakan satu algoritma saja. Penggabungan antara dua algoritma tersebut menjadi sebuah solusi untuk memperkuat algoritma menjadi lebih sulit untuk dapat dipecahkan dan untuk mengecoh kriptanalisis. Filet eks yang telah diamankan menggunakan Algoritma Vigenere Cipher akan diamankan lagi menggunakan Algoritma Hill Cipher. Implementasi sistem menggunakan perangkat lunak Visual Basic.Net 2010. Hasil dari sistem ini berupa file yang ter-enkripsi (cipherfile) yang tidak bisa dimengerti. Kemudian fileteks kembali normal setelah di-dekripsi.
Diagnosing Malnutrition In Toddlers Using The Dempster Shafer Method Wulandari, Heny; Manurung, Hotler; Rahmadani, Suci
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1235

Abstract

Indonesia was the 5th most malnourished country in the world in 2012. The number of malnourished children under five is currently around 900,000, which is 4.5% of the total number of children under five in Indonesia. Malnutrition can have an impact on children's growth and health, even potentially causing death if not treated properly. Toddler nutrition can be seen from the food consumed and nutritional status by calculating anthropometric indicators based on age, gender, weight and height. The Dempster Shafer method is one of the expert system methods used to calculate probabilities. This method is used to calculate the data input made by the patient to get the percentage of accuracy of the diagnosis results. Based on research, the Dempster Shafer method can produce accurate data. This developed system aims to help provide clear information for patients or the general public and for medical personnel is expected to help in handling it provide the right solution, by only paying attention to the symptoms experienced.
Public Sentiment towards the Medan-Binjai Water Pipeline Excavation using the Naïve Bayes Method Turnip, Liana Tasya; Manurung, Hotler; Prahmana, I Gusti
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1237

Abstract

The work on this project received sharp scrutiny from Non-Governmental Organizations (NGOs) because it was suspected that it was not in accordance with the Work Operation Standards (SOP) and not in accordance with the Technical Instructions (Guidelines for Implementation) and Juknis (Technical Instructions) .Naive Bayes is based on a simplified estimate that attribute values are conditionally independent of each other when given output values. Obtain an accuracy value of 0.75, with a negative precision classification of 0.75, negative recall1.00 f1-score negative0.86 and a negative3 support value. Precision classification Positive 0.00 positive recall 0.00 f1-score positive 0.00 and positive support value 1. This means that the performance of the system's success in retrieving information that has a positive value in the document is very low. -Binjai using the Naive Bayes algorithm method, it can be concluded as follows: 1) The accuracy level produced by the naïve Bayes classifier is 75%. 2) The advantages of this study are that it has good accuracy, precision and recall values, so that it is enough to be used in a system. 3) The deficiency in this research is in the performance of the system in finding the success of the system to find back information in the positive class, which is equal to 0.00%. This is because the amount of training data in the positive class is less than the negative class or it can be said that the training data used in this study is not balanced.
Co-Authors abdul ghani, mukti Danisuwara, Ardiya Kansya Dimastara, Rafa Filina, Dina Heny Wulandari Pardede, Akim Manaor Hara Prahmana, I Gusti Ramadani, Suci Sembiring, Hermansyah Simanjuntak, Magdalena Suci Rahmadani Turnip, Liana Tasya