Garuda - Garba Rujukan Digital

Sistem Informasi pada Hotel Dieng Berastagi Berbasis Web: Br. Sembiring Pelawi, Pindi Alpioninta; Nainggolan, Rena; Perangin-angin, Resianta
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp85-90

The Information System at the Dieng Berastagi Hotel is a web-based application developed using PHP and MySQL. This system is designed to manage various aspects of hotel operations, including room reservations, guest management, recording payment transactions, and storing customer data. Relevant keywords for this system include: hotels, reservations, guest management, PHP, MySQL. This system utilizes a MySQL database to store and manage information about rooms, guests and payment transactions. PHP was used to develop an interactive and responsive user interface, allowing hotel staff to easily access and manage data. By adopting this technology, Hotel Berastagi can increase its operational efficiency, improve customer experience and improve overall resource management.

PELATIHAN PENGGUNAAN SISTEM INFORMASI DESA KEPADA APARATUR DESA LUMBAN PEA TIMUR Hutapea, Marlyna Infryanty; Purba, Eviyanti Novita; Perangin-angin, Resianta; Jamaluddin, Jamaluddin; Nainggolan, Rena; Simamora, Roni J.; Saragih, Rijois I. E.; Harianja, Eva J. G.; Lumbantoruan, Gortap; Siringoringo, Rimbun; Sembiring, Rasmulia; Simanjuntak, Stevani L. Z.; Napitupulu, Thomson Januari
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 2 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No2.pp186-190

Lumban Pea Timur is one of the villages in Balige District, Toba Samosir Regency, North Sumatra Province. Village development is currently inseparable from the support of information technology, almost every village requires information technology to improve services to the community. The process of conveying information by the village to the resident, namely from the sub-district head to the village head reaches the resident. Processes like this often lead to inaccurate information. All existing regional potentials must be disseminated to show their superiority. Each district has an area called a sub-district and village. The rapid development of the world of communication technology has had a tremendous impact on the pattern of people’s lives. Information systems have made people’s lives dynamic and fast. With the facilities provided, encourages people to take advantage of information and communication technology to assist in their daily activities. The village government of Lumban Pea does not yet have a website address. This has resulted in information owned by the village that cannot be accessed by the wider community, causing this village to be very left behind. In this increasingly advanced technological era, a website-based information system can be implemented in East Lumban Pea village to overcome the above constraints. With the existence of a village information system, the community can directly access the various kinds of information presented. Likewise, village leaders can directly provide or update information related to the village they are fostering. All forms of information regarding population management can be accessed on the village information system page.

Pendekatan Level Data untuk Menangani Ketidakseimbangan Data Menggunakan Algoritma K-Nearest Neighbor Perangin-angin, Resianta; Harianja, Eva Julia Gunawati; Jaya, Indra Kelana
Jurnal TIMES Vol 9 No 1 (2020)
Publisher : STMIK TIME

Dalam penelitian ini digunakan dataset yang memiliki tingkat ketidakseimbangan yang berbeda beda mulai dari 16.40, 8.60, 2.06, 2.78, 1.87, tentu hal ini dapat menurunkan kinerja algoritma klasifikasi. Secara umum ketidakseimbangan kelas dapat ditangani dengan dua pendekatan, yaitu level data dan level algoritma. Pendekatan level data ditujukan untuk memperbaiki keseimbangan kelas, sedangkan pendekatan level algoritma ditujukan untuk memperbaiki algoritma atau menggabungkan (ensemble) pengklasifikasi agar lebih konduktif terhadap kelas minoritas. Pada penelitian ini diusulkan pendekatan level data dengan resampling, yaitu random oversampling (ROS), dan random undersampling (RUS), Pengklasifikasi yang digunakan adalah k-near neighbors. Hasil penelitian menunjukkan bahwa model ROS+KNN dan RUS+KNN didapat dengan selisih G-Means sebesar 13% dan F-Measure 2,08%, dari, hal ini menunjutkan bahwa RUS+KNN dan ROS+KNN bisa meningkatkan akurasi dari G-Mean dan F-Measure namun tidak memiliki perbedaan yang signifikan.

Comparison Detection Edge Lines Algoritma Canny dan Sobel Perangin-angin, Resianta; Harianja, Eva Julia Gunawati
Jurnal TIMES Vol 8 No 2 (2019)
Publisher : STMIK TIME

Deteksi tepi adalah pendekatan paling umum yang digunakan untuk mendeteksi tingkat abu-abu diskontinuitas. Ini karena titik atau garis yang terisolasi tidak terlalu sering dijumpai dalam aplikasi praktis. Idealnya, teknik yang digunakan untuk mendeteksi diskontinuitas hanya menghasilkan satu piksel yang terletak di wilayah batas. Salah satu teknik pengolahan citra yang digunakan adalah deteksi tepi. Deteksi tepi sering terjadi pada pengolahan citra digital karena merupakan salah satu langkah awal dalam segmentasi citra yang bertujuan untuk mempresentasikan objek yang terdapat pada citra. Deteksi tepi berfungsi untuk mengidentifikasi batas-batas suatu objek dengan latar belakang yang tumpang tindih. Oleh karena itu, ketika garis besar gambar dapat diidentifikasi secara akurat, semua objek dapat ditemukan dan properti dasar seperti luas, bentuk, dan ukuran objek dapat diukur. Ada beberapa jenis metode deteksi tepi yang dapat digunakan untuk mendeteksi garis besar suatu citra, seperti algoritma Sobel, Prewitt, Canny dan homogenitas. Masing-masing metode tersebut memiliki kelebihan dan kekurangannya masing-masing. Dalam penelitian ini akan diambil dua algoritma yaitu algoritma Canny dan Sobel. Berdasarkan kekuatan dan kelemahan kedua metode tersebut akan dilakukan analisis terhadap kedua metode tersebut untuk melihat hasil pendeteksian yang keduanya akan digunakan sebagai pembanding. Dilihat dari hasil yang didapat dari algoritma deteksi tepi Canny dan Sobel secara jelas terlihat lebih baik algoritma cannya pada hasil pendekteksian tepi, dimana algoritma Canny mempunyai hasil yang lebih halus dan lebih spesifik mendekteksi garis tepi suatu objek citra. Sedangkan algoritma pendektesian garis tepi sobel masih meregang pada daerah yang tidak berbatasan. Dilihat dari struktur hasil pendeteksian algoritma Canny lebih baik daripada algoritma Sobel.

Kombinasi Time Series Dengan Fuzzy Inferency System Untuk Model Prediksi Inflasi Dengan Akurasi Tinggi Perangin-angin, Resianta; Jaya, Indra Kelana; Rumahorbo, Benget
Jurnal TIMES Vol 9 No 2 (2020): Jurnal TIMES
Publisher : STMIK TIME

Logika fuzzy merupakan perluasan dari penalaran tradisional, dimana tidak hanya terdapat “ya” atau “tidak”, tetapi “ya” dengan nilai seberapa besar kadar “ya” tersebut, dan “tidak” dengan nilai seberapa besar kadar “tidak” tersebut. Kemampuan model fuzzy dalam memetakan nilai kabur menjadi alasan penggunaan model inferensi fuzzy dalam berbagai kasus yang menggunakan nilai kabur untuk menghasilkan suatu output yang jelas atau pasti. Dikarenakan membership fucntion dalam fuzzy inferency system sangat beragam, dalam hal ini tentu ada sedikit masalah, bagaimana menentukan membership yang terbaik atau dalam hal ini yang bisa menghasilkan nilai akurasi yang paling tinggi terhadap nilai aktual. Dalam penelitian ini akan dilakukan penelitian dengan menggunakan dua membership function, yakni membership fucntion bahu dan segitiga, model yang dipakai adalah model inferensi fuzzy Tsukamoto untuk kasus prediksi laju inflasi di Sumatera Utara, dari hasil ujicoba diperoleh ternyata kombinasi time series dengan membership fucntion segitiga dan fuzzy inferency system menghasilkan akurasi yang sangat tinggi mencapai 94,4%. Hasil ini menunjukkan kombinasi antara time series dan fuzzy inferency system untuk kasus prediksi inflasi memiliki tingkat akurasi yang sangat tinggi.

PENINGKATAN KOMPETENSI SISWA SMK GELORA JAYA NUSANTARA MELALUI PELATIHAN KONFIGURASI ROUTER DAN VLAN Jamaluddin, Jamaluddin; Harianja, Eva Julia G.; Purba, Eviyanti Novita; Perangin-angin, Resianta; Purba, Mufria J.; Nainggolan, Rena; Lumbantoruan, Gortap; Hutapea, Marlyna I.; Siringoringo, Rimbun; Simamora, Roni J.; Saragih, Rijois I. E.; Zalukhu, Delianus; Panjaitan, Calvin Nicolas; Marpaung, Flora; Sitorus, Hegi Audria
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 1 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No1.pp44-48

This community service activity is an implementation of the tridharma of higher education to provide knowledge to students of SMK Gelora Jaya Nusantara, especially class XI students majoring in network computer engineering (TKJ). The material provided is router configuration and virtual LAN, this material is useful for participants, because it is one of the topics in the competency exam. This service activity starts from the preparation stage carried out by the team and is carried out on June 20, 2023 in the computer laboratory of SMK Gelora Jaya Nusantara. This service activity was carried out in collaboration with the Program Studi D3 Manajemen Informatika dan Komputerisasi Akuntansi with SMK Gelora Jaya Nusantara.

PELATIHAN PENGGUNAAN SISTEM INFORMASI DESA KEPADA APARATUR DESA LUMBAN PEA TIMUR Hutapea, Marlyna Infryanty; Purba, Eviyanti Novita; Perangin-angin, Resianta; Jamaluddin, Jamaluddin; Nainggolan, Rena; Simamora, Roni J.; Saragih, Rijois I. E.; Harianja, Eva J. G.; Lumbantoruan, Gortap; Siringoringo, Rimbun; Sembiring, Rasmulia; Simanjuntak, Stevani L. Z.; Napitupulu, Thomson Januari
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 2 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No2.pp186-190

Lumban Pea Timur is one of the villages in Balige District, Toba Samosir Regency, North Sumatra Province. Village development is currently inseparable from the support of information technology, almost every village requires information technology to improve services to the community. The process of conveying information by the village to the resident, namely from the sub-district head to the village head reaches the resident. Processes like this often lead to inaccurate information. All existing regional potentials must be disseminated to show their superiority. Each district has an area called a sub-district and village. The rapid development of the world of communication technology has had a tremendous impact on the pattern of people’s lives. Information systems have made people’s lives dynamic and fast. With the facilities provided, encourages people to take advantage of information and communication technology to assist in their daily activities. The village government of Lumban Pea does not yet have a website address. This has resulted in information owned by the village that cannot be accessed by the wider community, causing this village to be very left behind. In this increasingly advanced technological era, a website-based information system can be implemented in East Lumban Pea village to overcome the above constraints. With the existence of a village information system, the community can directly access the various kinds of information presented. Likewise, village leaders can directly provide or update information related to the village they are fostering. All forms of information regarding population management can be accessed on the village information system page.

MODEL BIDIRECTIONAL LSTM UNTUK PEMROSESAN SEKUENSIAL DATA TEKS SPAM Siringoringo, Rimbun; Jamaluddin, Jamaluddin; Perangin-angin, Resianta; Harianja, Eva Julia Gunawati; Lumbantoruan, Gortap; Purba, Eviyanti Novita
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 7 No. 2 (2023): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol7No2.pp265-271

This study examines the LSTM-based model for processing spam in text data. Spam poses several dangers and risks, both for individuals and organizations. Spam can be a nuisance that hampers both individual and organizational productivity. Much spam contains fraudulent or phishing attempts to obtain sensitive information. Spam detection using deep learning involves the utilization of algorithms and deep neural network models to accurately classify messages as either spam or not spam. Typically, spam detection systems use a combination of these methods to improve the accuracy of identifying spam messages. This study applies the Bi-LSTM deep learning model to sequentially process text (sequencing). The performance of the model is determined based on the loss and accuracy. The data used are the Spam SMS and Spam Email datasets. The test results show that the Bi-LSTM model demonstrates better performance on all tested datasets. Bi-LSTM is able to capture textual patterns from both the context and the text itself, as it can combine information from both directions. The test results prove that the Bi-LSTM model is more effective in text comprehension. So we need to use Snort to maintain network security. Snort is a useful software for observing activity in a computer network. Snort can be used as a lightweight Network Intrusion Detection System (NIDS). Detection is carried out based on the rules that have been described by the administrator in the directory rules contained in the configuration file. Snort can analyze real time alerts, where the mechanism for entering alerts can be in the form of a user syslog, file or through a database. So we can detect attacks on computer networks early.

PREDICTION OF FUTURE FLIGHT DELAYS BASED ON CURRENT DATA ANALYSIS USING MACHINE LEARNING Nainggolan, Rena; Tobing, Fenina A. T.; Lumbantoruan, Gortap; Harianja, Eva Julia G.; Perangin-angin, Resianta
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp110-116

Airplane transportation has many advantages compared to other means of transportation, where this means of transportation is able to cover long distances in a short time. Besides having advantages, of course, air transportation often experiences flight delays which can be caused by several things, including delayed flights due to late arrival (Arrival Delay), delays of the airline itself (Carrier Delay), previously late arrivals (Late Aircraft Delay), air traffic congestion (Nas Delay), security issues (Security Delay) and weather conditions (Weather Delay) The tests carried out were 101,315 US flight delay data from 2017 to 2022. By using the Machine Learning method, the results obtained were that the largest flight delays were caused by late arrivals, namely 386,124,672, where the largest flight delays were by airlines. The airline, namely Southwest Airlines, is 61,474,379 of the total airlines, which is 20, and the biggest departure delay is at Chicago O'Hare International airport, which is in the city of Chicago, IL province, which is 20,912,928 of the total airport, which is 596. This research aims to predict future flights by analyzing current flight data, so that future flights can be better by overcoming or avoiding previous flight delay problems

SISTEM INFORMASI PERPUSTAKAAN DIGITAL PADA SMP NEGERI 2 SIMPANG EMPAT Br. Batubara, Anggi Natasya; Perangin-angin, Resianta; Purba, Eviyanti Novita
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 3 No 1 (2023): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol3No1.pp7-11

SMP Negeri 2 Simpang Empat is a junior high school located on JL. Simpang Empat, Ndokum Siroga, Berastagi, Karo Regency. At the current library of SMP Negeri 2 Simpang Empat, it is still done conventionally, namely data handling is still done by way of copying books, which invites data input, which takes a long time and cannot be opened easily and quickly. Therefore, with the existence of a digital library information system that intends to deal with the problems seen in SMP Negeri 2 Simpang Empat, in paying attention to these problems, a system that can process data in the library is needed. The programming languages used are: PHP and MYSQL Database. The existence of a digital library information system at SMP Negeri 2 Simpang Empat can make it easier for students to find books quickly and easily and save time, save energy, save space, save costs in obtaining information.

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