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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research ILKOM Jurnal Ilmiah Computer Based Information System Journal Jurnal Teknik Mesin Jurnal Ilmu Komputer dan Bisnis Jurnal Ekonomi Manajemen Sistem Informasi Indonesian Journal of Social Work Journal of Applied Data Sciences Jurnal Cahaya Mandalika International Journal of Computer and Information System (IJCIS) International Journal of Engineering, Science and Information Technology Djtechno: Jurnal Teknologi Informasi Jurnal Tika Jurnal Info Sains : Informatika dan Sains Malikussaleh Journal of Mechanical Science Technology Jurnal Ilmiah Kebijakan dan Pelayanan Pekerjaan Sosial (Biyan) J-Intech (Journal of Information and Technology) Jurnal Minfo Polgan (JMP) Jurnal Puan Indonesia Journal International of Lingua and Technology JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Desain dan Analisis Teknologi Innovative: Journal Of Social Science Research Priviet Social Sciences Journal Jurnal Pengabdian Ibnu Sina Journal of Society Bridge JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Pengabdian Barelang Jurnal Sistem Informasi dan Manajemen Jurnal Accounting Information System (AIMS) Jurnal Polimesin Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Tukino, Tukino
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Predicted demand for 3 kg LPG gas in each provinces area in Indonesia Novaria, Rachmawati; Alfiah, Agry; Khaddafi, Muammar; Tukino, Tukino; Sudipa, I Gede Iwan
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024
Publisher : SEAN Institute

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

Abstract

Predicted the demand for 3 kilograms of LPG gas in different provinces of Indonesia is crucial for assuring the provision of energy to households. By employing the Exponential Triple Smoothing (ETS) technique, this study examines demand-influencing factors and consumption patterns. By integrating historical data's levels, trends, and seasonality, ETS enables accurate and timely forecasts. The findings illustrate the predicted outcomes for the ten provinces in Indonesia that have the highest demand for 3 kilograms of LPG gas, as well as the ten provinces that have the lowest demand across all regions. All provinces' MAPE forecasting error testing results utilizing the ETS method are incorporated with an exceptionally high degree of precision, given that the error rate is 5.27%.
Assessment Decision Support System Best Teacher By Using Analytical Hierarchy Process (AHP) Method Hananto, April Lia; Priyatna, Bayu; Nurapriani, Fitria; Fauzi, Ahmad; Tukino, Tukino; Ahnaf, Naufal Zubdi
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.1.572

Abstract

Assessment of teachers by the Principal of SMA Negeri 1 Kedungwaringin certainly needs to be done to determine the best teacher, so that teacher performance is in accordance with the specified competencies because the teacher is the most important and influential role in the world of education in the process of teaching and learning activities. The assessment was carried out not only for civil servants (PNS), including honorary teachers who also participated in the assessment process so that there were no limitations in evaluating teachers at SMA Negeri 1 Kedungwaringin. This assessment process uses the Analytical Hierarchy Process (AHP) Algorithm. The method used aims to determine the best teacher at SMA Negeri 1 Kedungwaringin who is in accordance with the assessment criteria prepared. The results of the ranking show that Dian Purwanti, S.Pd obtained the highest score of 0.342 out of 5 other teachers. This application is expected to assist school principals in determining the best teacher based on the criteria and weight of each existing value.
MONITORING AKTIVITAS PRODUKSI MACHINING DENGAN PEMANFAATAN FRAMEWORK CODEIGNITER Ahmad, Sandi; Priatna, Bayu; Tukino, Tukino; Aripiyanto, Saepul
JURSIMA Vol 10 No 3 (2022): Jursima Vol.10 No.3
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.500

Abstract

PT XYZ adalah perusahaan di industri otomotif yang memproduksi velg untuk mobil dan sepeda motor. Banyak laporan aktivitas produksi menggunakan Microsoft Office Excel, yang menyebabkan kesalahan dalam pemrosesan data. Proses pengolahan data dalam laporan kegiatan produksi masih butuh waktu yang lama karena tidak didukung oleh sistem komputer. Mengingat permasalahan tersebut, maka harus ada pelaporan kegiatan produksi untuk mengatasi masalah di PT XYZ. Penelitian ini tujuannya untuk membuat laporan kegiatan produksi dengan menggunakan framework codeigniter, dengan mengolah data laporan kegiatan produksi secara termonitoring dan sistematis akan dihasilkan laporan kegiatan produksi harian yang tepat. Diharapkan hasil penelitian berupa laporan aktivitas produksi yang dihasilkan akan memberikan kemudahan untuk pengolahan data produksi dari pelaporan harian hingga laporan bulanan, kemudian penyajian laporan data aktivitas produksi pada PT XYZ dapat tersimpan dalam database, sehingga diharapkan dapat mempercepat dalam hal pencarian data.
Pengamatan Cacat Material Aluminium 6061 Proses Pemotongan Laser Menggunakan ESP32CAM Nanda, Rizki Aulia; Karyadi, Karyadi; Tukino, Tukino; Suhara, Ade; Rizki, Muhammad Nuzan; Ramadhan, Muhammad Faiz; Akmal, Khafid Khaulsar
Jurnal Teknik Mesin Vol 17 No 2 (2024): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.17.2.1609

Abstract

Using high-pressure and high-temperature laser light emission techniques, laser cutting works to cut materials in such a way that components at the laser cutting point produce cutting results. However, the current problem is that laser cutting often produces material defects including protruding parts, burnt surfaces, and pores on the laser-cut parts. Given this problem, the purpose of this study is to develop a camera capable of identifying material defects caused by laser cutting . The research method is the preparation of 6061 aluminum material, the preparation of the ESP32CAM camera, and the preparation of laser cutting parameter settings. In order to run the ESP32CAM program, C and OpenCV programming languages ​​are needed to identify items with material defects, color images, histograms, and FPS are needed. The results of the study showed that detecting defects at the highest FPS reading of 15.57 and a histogram value of 250 at the x coordinate and 950000 at the y coordinate. Eight defects in the material were found using Open CV detection on the ESP32CAM camera sample 3. From this technique it can be concluded that ESP32CAM is capable of identifying material defects caused by laser cutting.
Penerapan Algoritma Convolutional Neural Network Untuk Klasifikasi Sentimen Pada Layanan e-Commerce Tukino, Tukino
Jurnal Desain Dan Analisis Teknologi Vol. 4 No. 1 (2025): Januari
Publisher : Aptikom Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58520/jddat.v4i1.72

Abstract

Dalam era digital yang semakin maju, layanan e-Commerce seperti Shopee telah menjadi solusi transportasi yang populer di kota-kota besar termasuk Batam. Memahami sentimen pengguna terhadap layanan ini sangat penting bagi perusahaan untuk meningkatkan kualitas dan kepuasan pelanggan. Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap layanan E-Commerce di Kota Batam menggunakan metode Convolutional Neural Network (CNN). Data yang digunakan dalam penelitian ini dikumpulkan dari ulasan pengguna di media sosial dan aplikasi E-Commerce. Proses analisis meliputi pengumpulan data, pra-pemrosesan data, ekstraksi fitur menggunakan TF-IDF, dan klasifikasi sentimen menggunakan CNN. Hasil penelitian menunjukkan bahwa model CNN memiliki kinerja yang kuat dalam mengklasifikasikan sentimen pengguna dengan akurasi rata-rata 88.5%, presisi 88.6%, recall 88.2%, dan F1-Score 88.4%. Meskipun kinerja untuk sentimen positif dan negatif sangat baik, model menunjukkan tantangan dalam mengklasifikasikan ulasan netral. Untuk meningkatkan kinerja, disarankan penerapan teknik data augmentation, tuning hyperparameters, dan eksplorasi metode pembelajaran mesin yang lebih canggih. Penelitian ini memberikan wawasan berharga untuk meningkatkan strategi bisnis dan kualitas layanan E-Commerce di Kota Batam, serta berkontribusi pada pengembangan analisis sentimen di industri pemasaran online.
Menentukan Kelayakan Penjualan Used Smartphone Di Kota Batam Menggunakan Fuzzy Inference Fajrin, Alfannisa; Tukino, Tukino
Jurnal Desain Dan Analisis Teknologi Vol. 4 No. 1 (2025): Januari
Publisher : Aptikom Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58520/jddat.v4i1.76

Abstract

Kota Batam, dapat dikatakan sebagai salah satu pusat barang elektronik yang murah dan lengkap. Salah satu barangnya Smartphone bekas. Tetapi walaupun bekas, Smartphone yang dijajakan para pedagang tergolong berkualitas baik. Berdasarkan hasil wawancara dilokasi lucky plaza penulis mendapat variaber input dan output, untuk menentukan harga Smartphone bekas yang akan dijual kepada konsumen. Beberapa toko masih menggunakan cara manual dalam menentukan harga hanya berdasarkan perkiraan. Maka akan dilakukan perbandingan bagaimana cara untuk menentukan harga Smartphone bekas yang akan dijual kepada konsumen, proses pertama yang kita lakukan adalah mengecek kondisi fisik, kondisi fitur, minat pasar, dan harga beli Smartphone bekas/modal. Serta variabel output yaitu harga jual, dan menentukan harga Smartphone bekas dengan menggunakan cara metode sugeno. Sehingga membantu konsumen dengan sistem penunjang keputusan dalam pemilihan Smartphone tanpa rasa bingung ataupun takut jika mendapatkan produk tidak bagus.
Identifying Regional Patterns of Poverty in Indonesia: a Clustering Approach Using K-Means Wahyuni, Sri; Hananto, Agustia; Huda, Baenil; Apriani, Fitria; Tukino, Tukino
International Journal of Computer and Information System (IJCIS) Vol 6, No 1 (2025): IJCIS : Vol 6 - Issue 1 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i1.218

Abstract

Poverty in Indonesia remains a major challenge, with significant levels of inequality between provinces. This study applies the K-Means clustering method to analyze poverty distribution patterns in 38 provinces in Indonesia, using data on the percentage of poor people from 2010 to 2024. With this approach, provinces are grouped into three main clusters: low, medium, and high, based on the average poverty rate. The low cluster includes areas with poverty rates below 10%, while the medium and high clusters indicate poverty levels that require more specific policies. The evaluation results show a silhouette score of 0.613, indicating that this grouping is quite good but can still be improved. This study offers important insights to support more targeted and effective policies, especially in achieving Sustainable Development Goal (SDG) 1: Eradicating Poverty.
RANCANG BANGUN SISTEM INFORMASI E-MARKETING PADA PT PULAU CAHAYA TERANG tukino, tukino
Computer Based Information System Journal Vol. 8 No. 1 (2020): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1596.491 KB) | DOI: 10.33884/cbis.v8i1.1680

Abstract

Current technological developments are increasing, one of which is the development of the internet that is very fast, many companies are starting to offer their products through the internet to maximize their profits, so that competition between companies is getting tighter. PT Pulau Cahaya Terang  is one company that manufactures and sells various types of spring beds and equipment in the city of Batam. The sales system is by the way consumers come directly to the company, contact by telephone, or the company offers products directly through salesmen, the system Used is less effective now, becaUse consumers find it difficult to get the latest information and making an order quickly. For this reason, it is necessary to create a web-based sales information system at PT Pulau Cahaya Terang  so that consumers can easily access product information and can also directly order and pay for products through the website. The method Used is the SDLC Waterfall model which consists of needs analysis, design, programming code, testing, implementation and maintenance. The results of this research are a website-based sales information system that makes it easier for consumers to obtain information and order products, and save employee costs and time
RANCANG BANGUN PEMASARAN PROPERTI BERBASIS NODE.JS FRAMEWORK Tukino, Tukino; Maulana, Algifanri; Hakim, Arif Rahman
Computer Based Information System Journal Vol. 10 No. 1 (2022): CBIS Journal
Publisher : Universitas Putera Batam

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Abstract

The progress of the internet has become the best means to start a property business and it has been proven to be an effective and effective media of information from the internet to disseminate information that is fully accessible to anyone,anytime and anywhere. The great effect on the property business is caused through the internet because only by accessing it from smartphone device and computers at home or in the office of prospective buyers can see property add information.In today’s digital era property sales are mostly done on social media. Social media has many users. But social media has the disadvantages of having to pay if you want to advertise sales, consumers are only users of social media, sales posts quickly sink. In this research, a web-based property sales and leasing information system will be built to cover the shortage
IMPLEMENTASI ALGORITMA C4.5 DALAM PENENTUAN POLA PEMBELIAN PELANGGAN Tukino, Tukino; Arnomo, Sasa Ani; Hakim, Arif Rahman
Computer Based Information System Journal Vol. 10 No. 2 (2022): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v10i2.6537

Abstract

PT Sumber Alfaria Trijaya Tbk atau yang lebih dikenal dengan Alfamart merupakan salah satu perusahaan yang bergerak dibidang ritel yang mana perusahaan ini setiap harinya harus memenuhi kebutuhan konsumen. Selain itu, peletakan produk pada rak yang tidak sesuai dengan kebiasaan konsumen saat membeli produk secara bersamaan dalam satu waktu. Hal ini menyebabkan kekecewaan pada konsumen yang tidak dapat memenuhi kebutuhannya. Maka dari itu perusahaan harus mencermati pola pembelian yang dilakukan oleh konsumen. Untuk mengetahui produk yang dibeli secara bersamaan, menggunakan association rule (aturan asosiasi) yaitu teknik Data Mining  untuk menemukan aturan asosiasi suatu kombinasi item. Proses pencarian asosiasi menggunakan metode algoritma C4.5 yang dapat menghasilkan pengetahuan yang terkandung dalam data transaksi pelanggan, mengenai pola pembelian oleh konsumen. Berdasarkan hasil perhitungan algoritma C4.5 yang memenuhi syarat nilai minimum confidence dan diuji dengan software Tanagra, pada toko Alfamart rule tertinggi yang muncul pada produk Kunci Mas Minyak Goreng Pch 1,8l dan Sedap Mie Kari Special 75G dengan nilai Support 43,3% dan confidence 92,8%, hal ini sama dengan perhitungan manual algoritma C4.5. Maka dapat dilakukan pengaturan tata letak produk secara berdekatan untuk memudahkan keberadaan produk tersebut dan memudahkan dalam menentukan persediaan produk promo yang diinginkan konsumen serta dapat digunakan sebagai pendukung keputusan manajer dalam mengelola aktifitas perusahaan.
Co-Authors AA Sudharmawan, AA Agustina, Alvi Ahmad, Sandi Ahnaf, Naufal Zubdi Akbari, Wahyu Azriel Akmal, Khafid Khaulsar Alfiah, Agry Alfiansyah, Muhammad Rindra Algifanri Maulana, Algifanri Amalia Amalia Amrizal Amrizal Angeli, Alvin Annam, Dyno Syaiful Apriani, Fitria April Lia Hananto Arif Rahman Hakim Arnomo, Sasa Ani Arsyad, Fachry Aulia, Aldi Azwanti, Nurul Baru Harahap Berkah*, Kamila Catur Nugroho ceni kirani valensyah Danny Manongga Deddy Prihadi Dede Kuswanda Dien Noviany Rahmatika Dzulqarnain, Fahmi Eichler, Luiz Elisa, Erlin Fadli, Muhammad Abil Faisal, Sutan Fajrin, Alfannisa Fauzi Ahmad Muda Ferdiansyah, Indra Fifi, Fifi FIKRI HAIKAL Guntur, Muhamad Hananto, Agustia Handayani, Citra Handoko, Koko Harman, Rika Hartono Wijaya, Sony Hendry Hilabi, Shofa Shofiah Hindriyanto Dwi Purnomo Huda, Baenil I Gede Iwan Sudipa Irawan, Bei Harira Irwan Sembiring Iwan Setiawan Jasmine Dina Sabila Karyadi Karyadi Kurnia, Nisa Kusuma P, ⁠Shafira Putri Leony, Alvina Lindo, Junius Manalu, Soli Vernika Mildawati, Milly Muammar Khaddafi Mubarok, Piky Muhammad, Daniel Muslih, Muhamad Nahampun, Mawi Nanda, Rizki Aulia Nofriani Fajrah, Nofriani Novalia, Elfina Novaria, Rachmawati Nurapriani, Fitria Oganda, Decut Della Pandiangan, Satria Patya, Dhea Intan PERNANDO, Pernando Pratama, Daffa Agung Pratiwi, Mutiana Priatna, Bayu Priyatna, Bayu Purba, rehni jayana Purnomo, Andromedo Cahyo Putria, Narti Eka Ramadhan, Muhammad Faiz Reswara, Hadaya Abhista Rivai, Samuel Saepul Aripiyanto Samosir, Epa Prima Melina Sari, Fitria Ratna Sari, Nilah Wati Indra Nur Meinda Sari Sarjon Defit Setianingsih, Krisna Dewi Sianturi, Nico Bangun Rezkyanto Silva, Tiago Simanjutak, Pastima Siregar, Amril Mutoi Situmorang, Awaljan Soleman, Soleman Sri Wahyuni Subarkah, Ade Suhara, Ade Sukoco, Dwi Heru Sulestra, Ikhwan Sumijan Sumijan Syahril Effendi Syamsiar, Syamsiar Syelfiyananda, Syelfiyananda Tiodora, Jeremy Tjong Wan Sen Triandy, Oky Versanudin Hekmatyar Wibisosno, Eko Gunawan Wong, Hendri Yana Cahyana Yohanna Siahaan, Winda Yuhandri Yuhandri, Yuhandri Zetli, Sri Zulkifli, Mohamad