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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Pendidikan Islam Iqra' IKRA-ITH EKONOMIKA Jurnal Kreativitas PKM Jurnal Teknik Informatika (JUTIF) Journal La Multiapp Indonesian Journal of Innovation Studies Jurnal Locus Penelitian dan Pengabdian Jurnal Sains Informatika Terapan (JSIT) Innovative: Journal Of Social Science Research Academia Open
Hasibuan, Alfiansyah
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Other

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Algorithm Comparison for Estimating Chili Pepper Production in North Sulawesi Province: Perbandingan Algoritma untuk Estimasi Produksi Cabai Rawit di Provinsi Sulawesi Utara Musung, Matthew Albert Alexander; Hasibuan, Alfiansyah
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1756

Abstract

Background: Chili pepper production in North Sulawesi Province plays a vital role in regional food supply yet experiences frequent fluctuations due to natural and seasonal factors. Specific Background: These production instabilities have led to difficulties in market price control and agricultural planning, prompting the need for accurate predictive models. Knowledge Gap: Previous studies have compared regression and neural network algorithms in various domains, but little research has focused on local agricultural commodities such as chili peppers in North Sulawesi. Aim: This study compares the performance of Multiple Linear Regression and Backpropagation algorithms in estimating chili pepper production using statistical data from the North Sulawesi Statistics Agency (2018–2023). Results: Evaluation using R-squared (R²) and Mean Absolute Percentage Error (MAPE) shows that Backpropagation achieved R² = 0.846 and MAPE = 3.235%, outperforming Multiple Linear Regression (R² = 0.228; MAPE = 6.875%). Novelty: The study uniquely applies machine learning algorithms to a regional agricultural context characterized by nonlinear and fluctuating production data. Implications: The findings demonstrate the potential of Backpropagation as a reliable predictive tool for developing intelligent agricultural systems that support production planning and food security policy in North Sulawesi. Highlights Backpropagation shows higher accuracy than Multiple Linear Regression. Estimation uses agricultural data from North Sulawesi Province. Model supports predictive systems for food production planning. Keywords Backpropagation, Chili Production, Multiple Linear Regression, Prediction Model, North Sulawesi
Analisis Klasifikasi Metode X-Means Pada Minat dan Bakat Anak Dimasa Pandemi Putra, Purwa Hasan; Hasibuan, Alfiansyah; Marpaung, Effenril Agung
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 19, No 2 (2022): Juni 2022
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v19i2.17889

Abstract

Algoritma X-Means merupakan algoritma yang digunakan untuk pengelompokan data.Algoritma x means merupakan pengembangan dari k-means.X-means  clustering  digunakan untuk menyelesaikan salah satunya kelemahan utama dari  K-means  clustering,  yaitu  perlunya  pengetahuan  sebelumnya  tentang  jumlah cluster (K). Dalam metode ini, nilai sebenarnya dari K diperkirakan dalam suatu yang tidak diawasi cara dan hanya berdasarkan set data itu sendiri. Adapun hasil penelitian dengan menggunakan algoritma X-Means dengan evaluasi Davies-Bouldin Index penentuan  jumlah Centroid  cluster  dilakukan  dengan  memodifikasi  metode  X-Means. Dalam pengelompokan data ini dilakukan pengclusteran pada setiap data sisw dari variabel-variabelyang telah dikumpulkan. Bakat dan minat setiap siswa akan dicocokkan dengan perguruan tinggi dan jurusan apa yang diminati dari setiap siswa
The Impact of Education Character on Learning Activity of Madrasah Aliyah Students in Manado Modeong, Merriam; Ratumbuisang, Keith Francis; Hasibuan, Alfiansyah
Jurnal Ilmiah Iqra' Vol 18, No 1 (2024)
Publisher : IAIN Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30984/jii.v18i1.2924

Abstract

The Impact of Education Character on Learning Activity of Madrasah Aliyah Students In Manado. This research aims to determine the impact of Education Character on the learning activities of Madrasah Aliyah (MA) students in Manado City. This is quantitative research, and the population of this study were all class XII MA students in Manado City. At the same time, the sample in this study consisted of 78 students, formulated using an accidental sampling technique. Data analysis uses simple linear regression analysis.The research results reveal that the variable Furthermore, the t-count value is 7.524, which means it is greater than the t table value = 1.665 with N=78 (7.524>1.665). Furthermore, it can be stated that this research rejects the H0 decision, which means that Education Character has a positive and significant impact on the learning activities of Madrasah Aliyah students in Manado City
IMPLEMENTATION OF THE FORWARD CHAINING METHOD FOR DETECTING SCHOOL READINESS IN CHILDREN Rorimpandey, Gladly C.; Mantik, Felitia Theona Geofani; Hasibuan, Alfiansyah
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2221

Abstract

Primary school education is the education of children aged 7 to 13 years as education at the basic level which is developed in accordance with educational units, regional potential and socio-culture. School readiness for children is no less important because in fact school readiness for children is very important for children because many children are found to be still not ready. attended school when but was already in elementary school. To overcome this problem, this research provides a solution by building an expert system for detecting school readiness in children using the forward chaining method, which is a technique in an expert system that begins with gathering information starting from collecting premises which is followed by a conclusion or derived information (then). From the results of testing using functional testing and usability testing, it is known that in implementing the forward chaining method, 24 symptoms of school readiness were identified based on knowledge obtained directly from psychologists. The results obtained in testing using usability testing based on the results obtained are assessed as final and then the average value is calculated. The final conclusion of the results determined through the SUS Score assessment is 84%. This shows that this system easy and useful in assessing children's school readiness. The implication of the results of this test is that the school readiness detection expert system can be a useful tool for parents, teachers to evaluate children's readiness to enter elementary school.
Implementasi Algoritma Regresi Liniear untuk Memprediksi Pendapatan Retribusi Pasar Dinas Perdagangan Koperasi dan UKM Kota-Kotamobagu Mokoginta, Fadlia; Kainde, Quido C.; Hasibuan, Alfiansyah
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11611

Abstract

Retribusi daerah adalah salah satu sumber Pendapatan asli PAD. Retribusi daerah mempunyai peran yangpenting pada pemasukan dan pembangunan untuk Peningkatan atau menjadikan daerah lebih maju. Kemampuan ekonomi suatu daerah adalah diukur melalui besarnya pendapatan PAD. Masalah pada penelitian ini pengelolaan retribusi di daerah Kotamobagu dilakukan secara manual kurang efisien, harusnya retribusi merupakan sumber Atau tulang punggung biaya daerah atau pendanaan yang perlu dikelola dengan baik. Permasalahan ini dapat diatasi dengan membangun sistem manajemen pasar yang memanfaatkan teknologi dan didukung oleh sistem berbasis web. Implementasi algoritma regresi linier sederhana dalam sistem manajemen ini juga akan membantu memperkirakan hasil pendapatan retribusi pasar di Daerah Kota Kotamobagu, khususnya untuk Dinas Perdagangan, Koperasi, dan UKM Kotamobagu. Kata Kunci: implemetasi Algoritma Regresi Liniear, Manajemen Pasar
Perancangan Design UI/UX Menggunakan Metode Design thinking Dalam Pengembangan Website Sistem Informasi Kepegawaian Musung, Matthew Albert Alexander; Hasibuan, Alfiansyah
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.17840

Abstract

Salah satu program yang dilaksanakan dalam membangun tata kelola kepegawaian ini adalah dengan penataan kelola data pegawai melalui Sistem Informasi Kepegawaian, Dalam era digital saat ini, badan kepegawaian di berbagai daerah pemerintahan harus mampu menyediakan sistem yang mudah diakses, responsif, dan efisien untuk mendukung administrasi kepegawaian. Desain UI/UX yang baik dapat memperbaiki interaksi pengguna dengan aplikasi kepegawaian, mengurangi kesalahan, serta mempercepat proses pelayanan. Artikel ini mengeksplorasi peran penting desain UI dalam menciptakan antarmuka yang user-friendly dan desain UX dalam memastikan pengalaman pengguna yang optimal. Dengan adanya perancangan Sistem Informasi Kepegawaian (SINIKE) menggunakan metode Design thinking menghasilkan perancangan desain user interface dan user experience Sistem Informasi Kepegawain (SINIKE) baru yang terdiri dari fitur: menu login, menu E-Konsultasi, menu kinerja unit kerja, menu , menu statistik. Hasil dari penerapan metode ini menunjukkan bahwa dengan menggunakan metode Design thinking, desain UI/UX website (SINIKE) meningkatkan kenyamanan, kemudahan akses, dan kepuasan pengguna secara keseluruhan.
Penerapan Teknologi Tepat Guna untuk Pengolahan Tanaman Eichhornia Crassipes sebagai Bahan Dasar Kerajinan Tangan Bernilai Ekonomi Serta Pembuatan Sistem Ecommerce sebagai Media Promosi dan Pemasaran Dari Hasil Produk Hasibuan, Alfiansyah; Olii, Djami; Mustafa, Mustafa
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 7, No 11 (2024): Volume 7 No 11 (2024)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v7i11.17610

Abstract

ABSTRAK Eceng gondok dapat mengganggu keseimbangan ekosistem air tawar dengan menghambat pertumbuhan tanaman air, mengurangi oksigen dalam air, dan merusak habitat ikan dan makhluk air lainnya. Ini dapat berdampak negatif pada keberlanjutan ekosistem air tawar. Kegiatan ini akan melibatkan Kelompok Pengrajin/UMKM yang ada di Kelurahan Kampung Jawa Tondano. Permasalahan yang dihadapi yaitu, Pertumbuhan dari tumbuhan Eichhornia crassipes tak terkendali sehingga menutupi aliran sungai maupun Danau, Akar yang tumbuh kebawah air mengakibatkan pendangkalan Danau dan Sungai sehingga dapat mengurangi debit air yang ditampung, Pertumbuhan yang sangat cepat sehingga mengakibatkan pendangkalan pada danau dan sungai sehingga dapat mengurangi daya tampung air pada Danau maupun sungai, Dampak yang ditimbulkan dari pendangkalan sungai dan danau yaitu air mengalir dan memenuhi jalan-jalan pemukiman disekitar danau dan sungai, Menghabat aliran air pada sungai, Menampung sampah yang dibuang masyarakat pada saluran air sungai, Akar dari tumbuhan Eichhornia crassipes membuat keramba ikan yang di budidaya menjadi rusak. Solusi yang akan diberikan dengan mengacu dari permasalahan prioritas adalah sebagai berikut, Membuat mesin untuk mengolah batang dari tumbuhan Eichhornia crassipes pada kegiatan ini teknologi tepat guna yang akan dibuat yaitu Mesin Pemilin Tali, Membuat mesin Pencacah dari akar, daun dan batang yang tidak digunakan untuk dijadikan sebagai bahan pembuatan pupuk organik, Tim pelaksana kegiatan akan membuat website sebagai media pemasaran dan promosi dari produk yang dihasilkan, Tim pelaksana kegiatan akan mengadakan pelatihan khusus dalam mengolah batang dari tumbuhan Eichhornia crassipes, tim pelaksana kegaitan juga akan memberikan pelatihan proses pengolahan akar, daun dan batang yang tidak di gunakan untuk menjadi pupuk organik, Tim juga akan memberikan pelatihan terkait manajemen dan pemasaran secara digital untuk produk yang telah dihasilkan, Tim pelaksana kegiatan pengabdian akan membuat Logo sebagai identitas yang akan digunakan pada hasil produksi. Kata Kunci: Eichhornia Crassipes, UMKM, Website Pemasaran ABSTRACT Water hyacinth or scientifically known as Eichhornia crassipes is a type of aquatic plant that is often found in fresh water in tropical and subtropical areas. This plant is a habitat that grows in fresh water and is home to several Water hyacinth can disrupt the balance of freshwater ecosystems by inhibiting the growth of aquatic plants, reducing oxygen in the water, and damaging the habitat of fish and other aquatic creatures. This can have a negative impact on the sustainability of freshwater ecosystems. This activity will involve the Craftsmen/UMKM Group in the Kampung Jawa Tondano Village. The problems faced are, The growth of Eichhornia crassipes plants is uncontrolled so that it covers the flow of rivers and lakes, The roots that grow underwater cause shallowing of lakes and rivers so that it can reduce the discharge of water that is stored, Very rapid growth causes shallowing of lakes and rivers so that it can reduce the capacity of water in lakes and rivers, The impacts caused by shallowing of rivers and lakes are that water flows and fills residential roads around lakes and rivers, Inhibits the flow of water in rivers, Accommodates waste dumped by the community in river channels, The roots of Eichhornia crassipes plants damage the fish cages that are being cultivated. The solutions that will be provided with reference to the priority problems are as follows, Making a machine to process stems from Eichhornia crassipes plants in this activity, the appropriate technology that will be made is a Rope Twisting Machine, Making a Shredder machine from roots, leaves and stems that are not used to be used as materials for making organic fertilizer, The activity implementation team will create a website as a marketing and promotional media for the products produced, The activity implementation team will hold special training in processing stems from Eichhornia crassipes plants, the activity implementation team will also provide training in the process of processing roots, leaves and stems that are not used to become organic fertilizer, The team will also provide training related to management and digital marketing for the products that have been produced, The service activity implementation team will create a Logo as an identity that will be used on the production results. Keywords: Eichhornia crassipes, UMKM, Marketing website
Implementasi Algoritma First Come First Served (FCFS) Pada Sistem Informasi Pengelolaan Antrian Online Di UPC Pegadaian Tomohon Kumowal, Jaklin Agnes; Kumajas, Sondy Campvid; Hasibuan, Alfiansyah
IKRAITH-EKONOMIKA Vol. 9 No. 1 (2026): IKRAITH-EKONOMIKA Vol 9 No 1 Maret 2026
Publisher : Universitas Persada Indonesia YAI

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

Abstract

Pegadaian merupakan lembaga keuangan yang memberikan layanan gadai kepada masyarakat. Salah satu permasalahan yang masih dihadapi di UPC Pegadaian Tomohon adalah sistem antrian yang masih dilakukan secara manual, sehingga menyebabkan ketidakteraturan pemanggilan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan algoritma FCFS pada sistem informasi pengelolaan antrian online berbasis web di UPC Pegadaian Tomohon. Metode pengembangan sistem adalah Extreme Programming. Sistem dikembangkan menggunakan PHP dan MySQL, serta diintegrasikan dengan WhatsApp API untuk pengiriman notifikasi dan API harga emas untuk menampilkan informasi harga emas secara real-time. Hasil penelitian menunjukkan bahwa sistem antrian berbasis web dengan algoritma FCFS mampu mengelola antrian secara adil berdasarkan urutan kedatangan nasabah. Integrasi notifikasi WhatsApp membantu nasabah memperoleh informasi giliran secara langsung, sementara fitur harga emas real-time memberikan nilai tambah informasi layanan serta meningkatkan kualitas layanan.
Leaf Type Recognition System Using Image Processing Method Using Convolutional Neural Network Algorithm Kolauw, Evan; Hasibuan, Alfiansyah; Kumajas, Sondy C
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.3057

Abstract

A digital image-based leaf recognition system is one of the modern solutions in the fields of botany and agriculture to identify plants automatically. This study developed a leaf recognition system using image processing methods and Convolutional Neural Network (CNN) algorithms. CNN was chosen because of its ability to independently extract features through convolution layers, thus capturing important visual patterns such as shape, edges, textures, and leaf veins without requiring manual feature engineering processes. The research dataset consists of a collection of leaf images from several types of plants obtained through direct photo-taking and public dataset sources. Each image goes through a pre-processing stage, including cropping, resizing, image quality enhancement, and pixel normalization to ensure data consistency before entering the training stage. The CNN model is designed with several convolutional layers, pooling, activation functions, and fully connected layers to produce optimal classification performance. Model training is carried out by dividing training and testing data, as well as augmentation techniques to increase image variation. System performance is evaluated using accuracy, precision, recall, and confusion matrix. The test results show that the CNN model is able to recognize leaf types with a high level of accuracy and is stable under various test conditions, including variations in lighting and shooting angles. Overall, this study proves that CNN is an effective and reliable approach in building an automatic leaf recognition system. This system has the potential to be applied in the fields of precision agriculture, mobile application-based plant identification, and botanical research that require speed and accuracy in plant classification.
The Implementasi Algoritma Kriptografi AES-128 (RIJNDAEL) Untuk Keamanan Informasi Dokumen Rahasia PT. PLN (PERSERO) UP2B Sistem Minahasa Liow, Merlin Aprilia; Rorimpandey, Gladly Caren; Hasibuan, Alfiansyah
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

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Abstract

The rapid advancement of digital technologies in the electricity sector has increased the demand for stronger information security systems, particularly in managing confidential documents that support operational decision-making. PT PLN (Persero) UP2B Sistem Minahasa serves as a critical unit responsible for regulating and monitoring electrical load distribution in North Sulawesi, making the protection of internal documents essential to maintaining operational integrity and confidentiality. However, the current document management process still relies on conventional methods and lacks the support of modern encryption technologies, leaving sensitive data vulnerable to unauthorized access, information leakage, and misuse. These risks became more evident following several data breach incidents reported in 2022 and 2023. This research focuses on developing a digital document security system utilizing the Advanced Encryption Standard (AES-128) algorithm to protect files in PDF, DOCX, XLS, and TXT formats. The research stages include requirement analysis, system design, implementation using PHP, MySQL, and OpenSSL, and performance testing for the encryption and decryption processes. The results indicate that AES-128 efficiently encrypts documents and produces files that cannot be accessed without a valid key, while the decryption process successfully restores the original content with an accuracy level of up to 90%. Overall, the implementation of this system significantly improves document security within UP2B Sistem Minahasa and can serve as a reference for strengthening information security policies across PLN units.
Co-Authors Djami Olii Gladly Caren Rorimpandey Keith Francis Ratumbuisang Kolauw, Evan Kumajas, Sondy C Kumajas, Sondy C. Kumajas, Sondy Campvid Kumowal, Jaklin Agnes Liow, Merlin Aprilia Mantik, Felitia Theona Geofani Marpaung, Effenril Agung Merriam Listiany Modeong Mokoginta, Fadlia Mustapa Mustapa Musung, Matthew Albert Alexander Putra, Purwa Hasan Quido Conferti Kainde Silaarta, Hezeki Farell Tinambunan, Medi Hermanto Wahani, Waraney Vincent Beckham