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ALGORITMA REGRESI LINIER UNTUK MENINGKATKAN MODEL PREDIKSI PENJUALAN PADA TOKO DEVANJAYABAN Hardika, Hardika; Martanto, Martanto; Dikananda, Arif Rinaldi; Mulyawan, Mulyawan
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6357

Abstract

Penjualan ban mobil menghadapi tantangan akibat volatilitas pasar dan pola permintaan yang kompleks, sehingga diperlukan model prediksi yang andal. Penelitian ini mengembangkan model prediksi penjualan di Toko Devan Jaya Ban menggunakan regresi linear. Data historis penjualan bulanan (Januari–April 2024) dianalisis dengan metode Knowledge Discovery in Databases (KDD), mencakup seleksi data, preprocessing, transformasi, pemodelan, dan evaluasi. Model dibangun menggunakan RapidMiner dan dievaluasi dengan Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), dan Relative Error (RE). Hasil menunjukkan performa baik dengan RMSE 1.778, MAE 1.478 ± 0.989, dan RE 6.81% ± 5.09%. Preprocessing, seperti normalisasi data dan pemilihan variabel relevan, meningkatkan akurasi model. Regresi linear terbukti efektif dalam memprediksi penjualan serta mendukung optimalisasi stok, perencanaan pemasaran, dan pengambilan keputusan bisnis. Pengembangan lebih lanjut dapat mencakup variabel eksternal seperti tren pasar, musim, dan faktor ekonomi, serta membandingkan regresi linear dengan algoritma pembelajaran mesin lain untuk model yang lebih adaptif.
Peluang Industri Pertanian Komoditas Kopi (Coffe) Di Kecamatan Seponti Kabupaten Kayong Utara Desa Sungai Sepeti Martanto, Martanto; Nur Aisyah, Devi; Indriawan, Rois
Jurnal Teknologi Pangan dan Industri Perkebunan (LIPIDA) Vol 4 No 2 (2024)
Publisher : Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/lipida.v4i2.1648

Abstract

The coffee industry in Indonesia has a strategic role in the national economy, contributing as a source of income for millions of farmers. With production reaching 794.8 thousand tons in 2022, Indonesia is one of the largest coffee producing countries in the world. This study examines the opportunities of the coffee commodity farming industry in Sponti District, North Kayong Regency, which has great potential thanks to favorable agro-climatic conditions and superior coffee varieties. Growing global demand, driven by a growing middle class in developing countries, creates vast market opportunities. However, challenges such as increasing farmers' income, production quality, and environmental concerns need to be addressed. This study aims to explore strategies for sustainable development of the coffee industry, as well as provide recommendations to improve farmers' welfare and local economic growth.
THE DIGITAL LEAP: STRATEGIC MANAGEMENT FOR DIGITAL TRANSFORMATION SUCCESS IN TRADITIONAL INDUSTRIES Aryatama, Septian; Suryaningtyas, Dianawati; Martanto, Martanto; Sulistyo, Arif Budi; Barki, Khotimatul
Branding: Jurnal Manajemen dan Bisnis Vol 3 No 1 (2024): BRANDING: Jurnal Manajemen dan Bisnis
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jb.v3i1.35119

Abstract

Digital transformation in traditional industries is an important step to remain competitive in the modern era. The application of digital technology in business operations can increase efficiency and provide a better customer experience. However, many traditional companies face challenges in adopting new technologies and developing digital skills. This research aims to explore the role of strategic management in supporting the success of digital transformation in traditional industries. This research uses a qualitative approach, with data obtained from the results of relevant research and previous studies. The collected data will be analyzed to find significant patterns and relationships. The research results show that a clear digital vision and strategy are critical to guiding transformation. Effective leadership and good change management are also crucial in overcoming internal resistance. Implementing digital technologies, such as automation and analytics, can significantly improve operational efficiency. The development of digital skills and competencies through continuous training and external collaboration is essential to support this change. With a comprehensive approach, traditional companies can overcome the challenges of digital transformation and take advantage of the opportunities offered by new technologies.
PENDAMPINGAN DESAIN KEMASAN KERIPIK NANGKA DI UMKM SANG BINTANG KABUPATEN KETAPANG UNTUK MENINGKATKAN DAYA SAING Fitriarni, Dian; Zulfahmi, A. Nova; Martanto, Martanto; Hastuti, Ningrum Dwi; Cholid, Irfan; Indriawan, Rois; Assrorudin, Assrorudin; Arianti, Ira Arianti; Wardanu, Adha Panca
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 1 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

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

Abstract

Pengemasan umumnya digunakan sebagai pelindung produk yang dikemas.selain berfungsi sebagai pelindung produk, kemasan juga berfungsi sebagai media pemasaran. Media pemasaran melalui kemasan dapat berupa desain kemasan yang menarik. Desain kemasan yang menarik akan mendorong konsumen untuk membeli produk tersebut. UMKM Sang Bintang masih menggunakan bahan pengemas dan desain kemasan yang sederhana,sehingga daya awet rendah serta penjualan tidak maksimal. Tujuan dari pengabdian ini adalah memberikan pelatihan pemilihan bahan pengemas, desain kemasan, serta pendampingan sertifikasi halal produk keripik Nangka. Metode dalam pengabdian ini terbagi menjadi 2 bagian, pertama tahap persiapan yang terdiri dari survei awal, sosialisasi dan koordinasi kegiatan, penyusunan program kerja, penyusunan modul pelatihan, dan persiapan sarana dan prasarana. Kedua, tahap pelaksanaan terdiri dari kegiatan pelatihan penggunaan bahan kemasan, pelatihan dan pendampingan desain logo kemasan, pendampingan sertifikasi halal serta monitoring dan evaluasi. Hasil dari pengabdian ini adalah mitra bisa menentukan bahan pengemas yang cocok untuk produk hingga dapat memberikan umur simpan lebih dari 3 minggu, dapat menentukan desain kemasan yang sesuai regulasi sehingga meningkatkan angka penjualan mencapai 50%, serta berhasil mendapatkan sertifikat halal produk keripik Nangka.
Pengembangan Media Pembelajaran Matakuliah Sistem Operasi Jaringan Berbasis Smartphone Martanto Martanto; Cep Lukman Rohmat
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 02 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i02.623

Abstract

Students who registered at STMIK IKMI Cirebon in the last 3 years showed that 51% of applicants were from SMK graduates. Even though he comes from a vocational school, it is still very difficult to understand how to start learning about network operating systems. This is evident from the results of the Network Operating System lectures where only 1-2 people pass in each class. The use of smartphone media is expected to make it easier for lecturers to convey learning material so that the pattern of student center learning activities can run better without knowing time which means that students as learning objects will be able to better understand the material well. This study uses the Analysis, Design, Development, Implementation and Evaluation (ADDIE) development model. This research is divided into 5 stages, namely: the first stage the researcher conducts the analysis, there are two stages of analysis, namely performance analysis and needs analysis, the second stage the researcher makes a system design design which includes learning objectives, assessment instruments, exercises, content, subject matter analysis, lesson planning and media selection, the third stage the researchers began to create a system which includes the activities of making, buying, and modifying teaching materials to achieve the goals of the learning that have been determined, the fourth stage the researcher applies the system that has been created, the data generated in the application will be used for further improvement processes, In the fifth stage, the researcher evaluates the data that can be obtained at the previous stage, whether or not improvements are needed in the system that has been made. The results of the User Acceptance Test (UAT) in this study indicate that the learning media for the smartphone-based network operating system course is quite good because it has a percentage value that is above 70% on average.
A Comparative Analysis of Univariate and Multivariate LSTM Models for Nokia (NOK) Stock Price Prediction Saputra, Roni; Martanto, Martanto; Dana, Raditya Danar
Jurnal Komtika (Komputasi dan Informatika) Vol. 9 No. 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v9i2.15152

Abstract

Predicting stock prices is a challenging yet crucial task in financial markets. This research aims to compare the performance of two Long Short-Term Memory (LSTM) neural network models for forecasting the closing price of Nokia Corporation (NOK) stock: a univariate model using only historical closing prices and a multivariate model incorporating open, high, low, close, and volume (OHLCV) data. Utilizing historical daily data from 2015 to 2025, both models were trained to predict the next day's price based on the previous 60 days. The models' accuracy was rigorously evaluated using three key metrics: Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE). The findings revealed a decisive outcome. The univariate LSTM model consistently outperformed its multivariate counterpart across all evaluation metrics. It achieved an MAE of 0.0591, an RMSE of 0.0887, and a MAPE of 1.39%, while the multivariate model recorded higher values of 0.0623, 0.0934, and 1.45%, respectively. This study concludes that for NOK stock prediction, a simpler model with fewer features proved to be more effective. The additional data points in the multivariate model did not enhance predictive accuracy and may have introduced noise, suggesting that the historical pattern of closing prices alone is a more powerful predictor for this particular asset.
Penerapan Metode Agile dalam Pengembangan Sistem Informasi Praktek Kerja Lapangan Politeknik Negeri Ketapang Kharisma, Kharisma; Romlah, Siti; Herni, Indah Putri; Martanto, Martanto
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 11, No 4 (2022): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v11i4.4265

Abstract

Praktek Kerja Lapangan (PKL) merupakan salah satu bentuk implementasi secara sistematis dan sinkron antara program pendidikan di kampus dengan program penguasaan keahlian yang diperoleh melalui kegiatan kerja secara langsung didunia kerja untuk mencapai tingkat keahlian tertentu. Proses pendaftaran dan pelaporan pelaksanaan PKL di politeknik negeri ketapang masih belum optimal seperti sulitnya mahasiswa untuk mendapatkan tempat melakukan PKL karena belum adanya sistem informasi untuk mengelola informasi PKL. Berdasarkan hal tersebut penulis mengembangkan Sistem Informasi Manajemen Praktek Kerja Lapangan Berbasis Website Pada Program Studi Sistem Informasi politeknik negeri ketapang. Untuk pembuatan aplikasi website dibangun dengan menggunakan Bahasa pemrograman HTML, PHP dan database MySOL. Untuk perancangan sistem menggunakan USECASE dan perancangan basis data menggunakan ERD. Hasil dari pengembangan sistem informasi manajemen praktek kerja lapangan ini diharapkan dapat membantu mahasiswa dilingkungan Politeknik Negeri Ketapang dalam pelaksanaan praktek kerja lapangan
PERBANDINGAN KINERJA SUPPORT VECTOR MACHINE ORIGINAL DAN SUPPORT VECTOR MACHINE BERBASIS SMOTE UNTUK ANALISIS SENTIMEN APLIKASI JKN MOBILE APIPAH, KUSNATUL; Martanto, Martanto; Dikananda, Fatihanursari; Bahtiar, Agus; Narasati, Riri
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 17 No. 1 (2026): Maret
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v17i1.1403

Abstract

Analisis sentimen terhadap ulasan pengguna aplikasi JKN Mobile digunakan untuk mengevaluasi kualitas layanan digital BPJS Kesehatan. Penelitian ini membandingkan kinerja algoritma Support Vector Machine (SVM) pada data asli dan SVM berbasis Synthetic Minority Oversampling Technique (SMOTE) dalam mengatasi permasalahan ketidakseimbangan kelas. Dataset diperoleh melalui proses scraping ulasan pengguna aplikasi JKN Mobile. Tahapan pra-pemrosesan meliputi case folding, tokenizing, stopword removal, dan stemming. Representasi fitur menggunakan metode Term Frequency–Inverse Document Frequency (TF-IDF). Evaluasi kinerja model dilakukan menggunakan metrik accuracy, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa penerapan SMOTE mampu meningkatkan kinerja klasifikasi, khususnya pada kelas minoritas, dibandingkan dengan SVM tanpa penyeimbangan data. Dengan demikian, SMOTE terbukti efektif untuk meningkatkan performa analisis sentimen pada data tidak seimbang.
ANALISIS POLA KETERKAITAN PRODUK TOKO SEMBAKO IBU IYU DENGAN ALGORITMA FP-GROWTH Suripno; Nining Rahaninsih; Irfan Ali; Martanto; Odi Nurdiawan
INFOTECH journal Vol. 11 No. 2 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v11i2.16632

Abstract

Toko Sembako Ibu Iyu merupakan toko ritel tradisional yang menghasilkan data transaksi dalam jumlah besar setiap hari, sehingga diperlukan teknik pengolahan data yang mampu mengekstraksi informasi bernilai guna mendukung pengambilan keputusan. Penelitian ini menerapkan metode data mining menggunakan algoritma association rule mining, khususnya FP-Growth, untuk mengidentifikasi pola keterkaitan produk dan memahami kecenderungan pembelian konsumen. Data yang digunakan mencakup transaksi periode Januari hingga Juni 2024 yang berisi kode transaksi, tanggal, serta daftar produk yang dibeli. Tahapan penelitian meliputi seleksi data, pembersihan duplikasi, standarisasi penamaan, dan transformasi ke format basket transaction sebelum dianalisis menggunakan FP-Growth dengan minimum support 0,01 dan minimum confidence 0,6. Hasil penelitian menghasilkan 11 aturan asosiasi, dengan aturan terbaik menunjukkan bahwa konsumen yang membeli Marlboro Kretek cenderung membeli Cheetos BBQ/Jagung Bakar, dengan nilai support 1,2% dan confidence 95,7%. Temuan ini dapat dimanfaatkan untuk strategi penataan produk, promosi bundling, dan optimalisasi manajemen persediaan sehingga mendukung peningkatan efisiensi operasional toko ritel tradisional.
Pemberdayaan Wirausaha Melalui Rancangan Ekosistem Bisnis Berbasis Platform Digital Martanto; Mulyawan; Arif Budi Setiawan; Betran Renaldi
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 : April (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

Micro, small, and medium enterprises (MSMEs) play a vital role in the economy but often face challenges in developing their businesses in the digital era. This Community Partnership Program aims to empower entrepreneurs through the design of a business ecosystem based on digital platforms. The activities include situational analysis of partner MSMEs, designing a suitable business ecosystem model, training on the utilization of digital platforms for various business aspects (marketing, operations, and management), and assistance in implementing the designed ecosystem. It is expected that, through this program, partner MSMEs can improve efficiency, expand market reach, enhance customer interaction, and ultimately achieve sustainable business growth through the utilization of an integrated digital ecosystem.
Co-Authors A, Ronny Abdillah, Naufal Abdul Rosid, Rizal Adha Panca Wardanu, Adha Panca Ahmad Faqih Ahmad Rifa'i Ahmad Rifai Ahmad Rifai Aji Dian Permana, Muhamad Aji Saputra, Mohammad AKBAR, MUHAMAD DENI Al-Giffary, Farhan Rizky Alfin Maulana Almadina, Muhammad Fitrian Shousyade Alpian Novansyah, Indi Andini, Eva APIPAH, KUSNATUL Ardhanur, Ichlas Arianti, Ira Arianti Arif Budi Setiawan Arif Rinaldi Dikananda Aryatama, Septian Asmana, Asmana Assrorudin, Assrorudin Augustian Pangestiazi, Irvanda Azahra, Amaliyah Putri Aziz Sahidin, Naufal Azzahra Moudy Fajria Bagus Hermawan Barki, Khotimatul Betran Renaldi Bisma Mahendra Cep Lukman Rohmat Chrisna Basila Rahman, Muhammad Damar Widjaja Darmanto, Darmanto Dea Eryanti Putri Dede Rohman Denni Pratama Dewi Yuliyanti, Dewi Dian Ade Kurnia Dianawati Suryaningtyas Dias Bayu Saputra Dikananda, Arif Rinaldi Dikananda, Fatihanursari Dilita Pramasmawari Lita Dita Rizki Amalia Diyanti yanti Djoko Untoro Suwarno Dwi Hastuti, Ningrum Fadhil Muhammad Bsysyar Faisal Adam, Faisal Faizal Rizqi, Muhammad Fathur Rezki Junaedi, Muhammad Fatihanursari Dikananda fatimah, lilis Fauzan Afrizal, Ricky Febriyani, Adinda Fihir, Muhammad Fithriyani, Nurul Muna Fitriarni, Dian Fuji Astri, Dewanti Gifthera Dwilestari Hamam, Moh Hardika Hardika, Hardika Harini, BW Hastuti, Ningrum Dwi Hayati , Umi Hayati, Umi Heliyanti Susana Herni, Indah Putri Hidayat, Fajar Ica Unari Ika Anikah Iksan Maulana, Muhammad Indriawan, Rois Irfan Ali Irfan Ali, Irfan irfan cholid Iswanjono Iswanjono Jamaludin, Maulana Jamalul'ain, Abdul Kamil, Firmanilah Khaerul Anam Kharisma, Kharisma Khoirunisa, Pitria Kholilullah, Mohammad khusnul khotimah Linggo Sumarno Lukmanul Hakim Lutfi Hakim Ma'arif Syaefullah, Muhammad Mahardika, Fathoni Maulana Jamaludin Maulana Yusuf, Muhammad Meida Nurus Melva Regina Arpratika Mirna Mirna Mochammad Fatha Mudzhaffar Moruk, Ewaldus Mu'min Azis, Muhammad Mubarok Mubarok Muhamad Djaelani Muhamad farhan Tholhah hidayat Muhamad Jihad Andiana Muhamad Taufik Sugandi Muhammad Aditya Rabbani Adit Muhammad Fadhilah Muhammad Haikal Muhammad Hasan Fadlun Muhammad Saifurridho Mujibulloh, Mujibulloh Mulyawan Mulyawan, Mulyawan Musyarofah Musyarofah, Musyarofah Muzani, Muhamad Muzilin, Elin Nailil Amani, Najiyah Nana Suarna Nanita, Nanita Narasati, Riri Narasati Nining Rahaningsih Nining Rahaninsih Nova Zulfahmi, A Nova Zulfahmi, A. Nur Aisyah, Devi Nur Asih, Nur Nur Hermawan, Ilham Nurdiawa, Odi Nurhanifah, Indah Nurus, Meida Odi Nurdiawa Odi Nurdiawan Panca Wardanu, Adha Panji Adi Putra Petrus Setyo Prabowo Prabowo, PS Prahara, Sukma Primawan, A.Bayu Puji Rahayu Putri, Niken Zeliana Raditya Danar Dana Ramdan Adi Surya, Muhamad Ridho Nugraha Rifa'i, Ahmad Rifa’I, Ahmad Rinaldi Dikananda, Arif Rinaldi, Arif Riskandi, Muhammad Rizal Rizal Rizka Amelia Rohman, Dede Roni Saputra, Roni Ronny Dwi Agusulistyo Rudi Kurniawan Ryan Hamongan Saeful Anwar Safrudin, Muhamad Saifurridho, Muhammad Salsabila Ainal Wasilah, Qonita Samsudin, Risma'ruf Setiyani, Th. Prima Ari Setiyani, TPA Siti Latifah Siti Paridah, Ninda Siti Romlah Sri Suwartini Subur, Muhamad Sulistiyana Sulistiyana Sumarno, L Suripno Suryaningsih Suryaningsih Suwarno, DU Syahri, Ibnu Nava Syam Al ghifari, Muhammad Syamsul Aripin Syaripah, Imas Syifa, Nurkhasanah Fadhila Tati Suprapti Thomas Agam Tjendro Tri Anelia Tri Gustiane, Indri Tuti Hartati Umi Hayati Ummiyati Ummiyati Vicky Pamungkas W Widyastuti, W Wibowo, Daniel Widjaja, D Wihadi, Dwiseno WIHADI, RB DWISENO Willy Prihartono Wiwien Widyastuti Yudhistira Arie Wijaya Zulfahmi, A. Nova